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* updated gpt5-pro it is here and on openrouter https://platform.openai.com/docs/models/gpt-5-pro * feat: Add gpt-5-pro pricing - Implemented handling for the new gpt-5-pro model in the getValueKey function. - Updated tests to ensure correct behavior for gpt-5-pro across various scenarios. - Adjusted token limits and multipliers for gpt-5-pro in the tokens utility files. - Enhanced model matching functionality to include gpt-5-pro variations. * refactor: optimize model pricing and validation logic - Added new model pricing entries for llama2, llama3, and qwen variants in tx.js. - Updated tokenValues to include additional models and their pricing structures. - Implemented validation tests in tx.spec.js to ensure all models resolve correctly to pricing. - Refactored getValueKey function to improve model matching and resolution efficiency. - Removed outdated model entries from tokens.ts to streamline pricing management. * fix: add missing pricing * chore: update model pricing for qwen and gemma variants * chore: update model pricing and add validation for context windows - Removed outdated model entries from tx.js and updated tokenValues with new models. - Added a test in tx.spec.js to ensure all models with pricing have corresponding context windows defined in tokens.ts. - Introduced 'command-text' model pricing in tokens.ts to maintain consistency across model definitions. * chore: update model names and pricing for AI21 and Amazon models - Refactored model names in tx.js for AI21 and Amazon models to remove versioning and improve consistency. - Updated pricing values in tokens.ts to reflect the new model names. - Added comprehensive tests in tx.spec.js to validate pricing for both short and full model names across AI21 and Amazon models. * feat: add pricing and validation for Claude Haiku 4.5 model * chore: increase default max context tokens to 18000 for agents * feat: add Qwen3 model pricing and validation tests * chore: reorganize and update Qwen model pricing in tx.js and tokens.ts --------- Co-authored-by: khfung <68192841+khfung@users.noreply.github.com>
365 lines
16 KiB
JavaScript
365 lines
16 KiB
JavaScript
const { matchModelName, findMatchingPattern } = require('@librechat/api');
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const defaultRate = 6;
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/**
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* AWS Bedrock pricing
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* source: https://aws.amazon.com/bedrock/pricing/
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* */
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const bedrockValues = {
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// Basic llama2 patterns (base defaults to smallest variant)
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llama2: { prompt: 0.75, completion: 1.0 },
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'llama-2': { prompt: 0.75, completion: 1.0 },
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'llama2-13b': { prompt: 0.75, completion: 1.0 },
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'llama2:70b': { prompt: 1.95, completion: 2.56 },
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'llama2-70b': { prompt: 1.95, completion: 2.56 },
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// Basic llama3 patterns (base defaults to smallest variant)
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llama3: { prompt: 0.3, completion: 0.6 },
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'llama-3': { prompt: 0.3, completion: 0.6 },
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'llama3-8b': { prompt: 0.3, completion: 0.6 },
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'llama3:8b': { prompt: 0.3, completion: 0.6 },
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'llama3-70b': { prompt: 2.65, completion: 3.5 },
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'llama3:70b': { prompt: 2.65, completion: 3.5 },
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// llama3-x-Nb pattern (base defaults to smallest variant)
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'llama3-1': { prompt: 0.22, completion: 0.22 },
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'llama3-1-8b': { prompt: 0.22, completion: 0.22 },
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'llama3-1-70b': { prompt: 0.72, completion: 0.72 },
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'llama3-1-405b': { prompt: 2.4, completion: 2.4 },
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'llama3-2': { prompt: 0.1, completion: 0.1 },
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'llama3-2-1b': { prompt: 0.1, completion: 0.1 },
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'llama3-2-3b': { prompt: 0.15, completion: 0.15 },
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'llama3-2-11b': { prompt: 0.16, completion: 0.16 },
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'llama3-2-90b': { prompt: 0.72, completion: 0.72 },
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'llama3-3': { prompt: 2.65, completion: 3.5 },
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'llama3-3-70b': { prompt: 2.65, completion: 3.5 },
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// llama3.x:Nb pattern (base defaults to smallest variant)
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'llama3.1': { prompt: 0.22, completion: 0.22 },
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'llama3.1:8b': { prompt: 0.22, completion: 0.22 },
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'llama3.1:70b': { prompt: 0.72, completion: 0.72 },
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'llama3.1:405b': { prompt: 2.4, completion: 2.4 },
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'llama3.2': { prompt: 0.1, completion: 0.1 },
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'llama3.2:1b': { prompt: 0.1, completion: 0.1 },
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'llama3.2:3b': { prompt: 0.15, completion: 0.15 },
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'llama3.2:11b': { prompt: 0.16, completion: 0.16 },
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'llama3.2:90b': { prompt: 0.72, completion: 0.72 },
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'llama3.3': { prompt: 2.65, completion: 3.5 },
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'llama3.3:70b': { prompt: 2.65, completion: 3.5 },
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// llama-3.x-Nb pattern (base defaults to smallest variant)
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'llama-3.1': { prompt: 0.22, completion: 0.22 },
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'llama-3.1-8b': { prompt: 0.22, completion: 0.22 },
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'llama-3.1-70b': { prompt: 0.72, completion: 0.72 },
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'llama-3.1-405b': { prompt: 2.4, completion: 2.4 },
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'llama-3.2': { prompt: 0.1, completion: 0.1 },
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'llama-3.2-1b': { prompt: 0.1, completion: 0.1 },
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'llama-3.2-3b': { prompt: 0.15, completion: 0.15 },
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'llama-3.2-11b': { prompt: 0.16, completion: 0.16 },
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'llama-3.2-90b': { prompt: 0.72, completion: 0.72 },
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'llama-3.3': { prompt: 2.65, completion: 3.5 },
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'llama-3.3-70b': { prompt: 2.65, completion: 3.5 },
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'mistral-7b': { prompt: 0.15, completion: 0.2 },
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'mistral-small': { prompt: 0.15, completion: 0.2 },
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'mixtral-8x7b': { prompt: 0.45, completion: 0.7 },
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'mistral-large-2402': { prompt: 4.0, completion: 12.0 },
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'mistral-large-2407': { prompt: 3.0, completion: 9.0 },
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'command-text': { prompt: 1.5, completion: 2.0 },
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'command-light': { prompt: 0.3, completion: 0.6 },
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// AI21 models
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'j2-mid': { prompt: 12.5, completion: 12.5 },
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'j2-ultra': { prompt: 18.8, completion: 18.8 },
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'jamba-instruct': { prompt: 0.5, completion: 0.7 },
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// Amazon Titan models
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'titan-text-lite': { prompt: 0.15, completion: 0.2 },
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'titan-text-express': { prompt: 0.2, completion: 0.6 },
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'titan-text-premier': { prompt: 0.5, completion: 1.5 },
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// Amazon Nova models
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'nova-micro': { prompt: 0.035, completion: 0.14 },
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'nova-lite': { prompt: 0.06, completion: 0.24 },
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'nova-pro': { prompt: 0.8, completion: 3.2 },
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'nova-premier': { prompt: 2.5, completion: 12.5 },
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'deepseek.r1': { prompt: 1.35, completion: 5.4 },
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};
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/**
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* Mapping of model token sizes to their respective multipliers for prompt and completion.
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* The rates are 1 USD per 1M tokens.
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* @type {Object.<string, {prompt: number, completion: number}>}
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*/
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const tokenValues = Object.assign(
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{
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// Legacy token size mappings (generic patterns - check LAST)
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'8k': { prompt: 30, completion: 60 },
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'32k': { prompt: 60, completion: 120 },
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'4k': { prompt: 1.5, completion: 2 },
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'16k': { prompt: 3, completion: 4 },
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// Generic fallback patterns (check LAST)
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'claude-': { prompt: 0.8, completion: 2.4 },
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deepseek: { prompt: 0.28, completion: 0.42 },
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command: { prompt: 0.38, completion: 0.38 },
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gemma: { prompt: 0.02, completion: 0.04 }, // Base pattern (using gemma-3n-e4b pricing)
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gemini: { prompt: 0.5, completion: 1.5 },
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'gpt-oss': { prompt: 0.05, completion: 0.2 },
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// Specific model variants (check FIRST - more specific patterns at end)
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'gpt-3.5-turbo-1106': { prompt: 1, completion: 2 },
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'gpt-3.5-turbo-0125': { prompt: 0.5, completion: 1.5 },
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'gpt-4-1106': { prompt: 10, completion: 30 },
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'gpt-4.1': { prompt: 2, completion: 8 },
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'gpt-4.1-nano': { prompt: 0.1, completion: 0.4 },
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'gpt-4.1-mini': { prompt: 0.4, completion: 1.6 },
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'gpt-4.5': { prompt: 75, completion: 150 },
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'gpt-4o': { prompt: 2.5, completion: 10 },
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'gpt-4o-2024-05-13': { prompt: 5, completion: 15 },
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'gpt-4o-mini': { prompt: 0.15, completion: 0.6 },
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'gpt-5': { prompt: 1.25, completion: 10 },
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'gpt-5-nano': { prompt: 0.05, completion: 0.4 },
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'gpt-5-mini': { prompt: 0.25, completion: 2 },
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'gpt-5-pro': { prompt: 15, completion: 120 },
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o1: { prompt: 15, completion: 60 },
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'o1-mini': { prompt: 1.1, completion: 4.4 },
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'o1-preview': { prompt: 15, completion: 60 },
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o3: { prompt: 2, completion: 8 },
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'o3-mini': { prompt: 1.1, completion: 4.4 },
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'o4-mini': { prompt: 1.1, completion: 4.4 },
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'claude-instant': { prompt: 0.8, completion: 2.4 },
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'claude-2': { prompt: 8, completion: 24 },
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'claude-2.1': { prompt: 8, completion: 24 },
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'claude-3-haiku': { prompt: 0.25, completion: 1.25 },
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'claude-3-sonnet': { prompt: 3, completion: 15 },
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'claude-3-opus': { prompt: 15, completion: 75 },
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'claude-3-5-haiku': { prompt: 0.8, completion: 4 },
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'claude-3.5-haiku': { prompt: 0.8, completion: 4 },
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'claude-3-5-sonnet': { prompt: 3, completion: 15 },
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'claude-3.5-sonnet': { prompt: 3, completion: 15 },
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'claude-3-7-sonnet': { prompt: 3, completion: 15 },
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'claude-3.7-sonnet': { prompt: 3, completion: 15 },
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'claude-haiku-4-5': { prompt: 1, completion: 5 },
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'claude-opus-4': { prompt: 15, completion: 75 },
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'claude-sonnet-4': { prompt: 3, completion: 15 },
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'command-r': { prompt: 0.5, completion: 1.5 },
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'command-r-plus': { prompt: 3, completion: 15 },
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'command-text': { prompt: 1.5, completion: 2.0 },
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'deepseek-reasoner': { prompt: 0.28, completion: 0.42 },
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'deepseek-r1': { prompt: 0.4, completion: 2.0 },
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'deepseek-v3': { prompt: 0.2, completion: 0.8 },
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'gemma-2': { prompt: 0.01, completion: 0.03 }, // Base pattern (using gemma-2-9b pricing)
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'gemma-3': { prompt: 0.02, completion: 0.04 }, // Base pattern (using gemma-3n-e4b pricing)
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'gemma-3-27b': { prompt: 0.09, completion: 0.16 },
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'gemini-1.5': { prompt: 2.5, completion: 10 },
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'gemini-1.5-flash': { prompt: 0.15, completion: 0.6 },
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'gemini-1.5-flash-8b': { prompt: 0.075, completion: 0.3 },
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'gemini-2.0': { prompt: 0.1, completion: 0.4 }, // Base pattern (using 2.0-flash pricing)
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'gemini-2.0-flash': { prompt: 0.1, completion: 0.4 },
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'gemini-2.0-flash-lite': { prompt: 0.075, completion: 0.3 },
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'gemini-2.5': { prompt: 0.3, completion: 2.5 }, // Base pattern (using 2.5-flash pricing)
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'gemini-2.5-flash': { prompt: 0.3, completion: 2.5 },
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'gemini-2.5-flash-lite': { prompt: 0.1, completion: 0.4 },
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'gemini-2.5-pro': { prompt: 1.25, completion: 10 },
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'gemini-pro-vision': { prompt: 0.5, completion: 1.5 },
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grok: { prompt: 2.0, completion: 10.0 }, // Base pattern defaults to grok-2
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'grok-beta': { prompt: 5.0, completion: 15.0 },
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'grok-vision-beta': { prompt: 5.0, completion: 15.0 },
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'grok-2': { prompt: 2.0, completion: 10.0 },
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'grok-2-1212': { prompt: 2.0, completion: 10.0 },
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'grok-2-latest': { prompt: 2.0, completion: 10.0 },
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'grok-2-vision': { prompt: 2.0, completion: 10.0 },
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'grok-2-vision-1212': { prompt: 2.0, completion: 10.0 },
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'grok-2-vision-latest': { prompt: 2.0, completion: 10.0 },
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'grok-3': { prompt: 3.0, completion: 15.0 },
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'grok-3-fast': { prompt: 5.0, completion: 25.0 },
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'grok-3-mini': { prompt: 0.3, completion: 0.5 },
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'grok-3-mini-fast': { prompt: 0.6, completion: 4 },
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'grok-4': { prompt: 3.0, completion: 15.0 },
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codestral: { prompt: 0.3, completion: 0.9 },
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'ministral-3b': { prompt: 0.04, completion: 0.04 },
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'ministral-8b': { prompt: 0.1, completion: 0.1 },
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'mistral-nemo': { prompt: 0.15, completion: 0.15 },
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'mistral-saba': { prompt: 0.2, completion: 0.6 },
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'pixtral-large': { prompt: 2.0, completion: 6.0 },
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'mistral-large': { prompt: 2.0, completion: 6.0 },
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'mixtral-8x22b': { prompt: 0.65, completion: 0.65 },
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kimi: { prompt: 0.14, completion: 2.49 }, // Base pattern (using kimi-k2 pricing)
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// GPT-OSS models (specific sizes)
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'gpt-oss:20b': { prompt: 0.05, completion: 0.2 },
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'gpt-oss-20b': { prompt: 0.05, completion: 0.2 },
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'gpt-oss:120b': { prompt: 0.15, completion: 0.6 },
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'gpt-oss-120b': { prompt: 0.15, completion: 0.6 },
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// GLM models (Zhipu AI) - general to specific
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glm4: { prompt: 0.1, completion: 0.1 },
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'glm-4': { prompt: 0.1, completion: 0.1 },
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'glm-4-32b': { prompt: 0.1, completion: 0.1 },
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'glm-4.5': { prompt: 0.35, completion: 1.55 },
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'glm-4.5-air': { prompt: 0.14, completion: 0.86 },
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'glm-4.5v': { prompt: 0.6, completion: 1.8 },
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'glm-4.6': { prompt: 0.5, completion: 1.75 },
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// Qwen models
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qwen: { prompt: 0.08, completion: 0.33 }, // Qwen base pattern (using qwen2.5-72b pricing)
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'qwen2.5': { prompt: 0.08, completion: 0.33 }, // Qwen 2.5 base pattern
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'qwen-turbo': { prompt: 0.05, completion: 0.2 },
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'qwen-plus': { prompt: 0.4, completion: 1.2 },
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'qwen-max': { prompt: 1.6, completion: 6.4 },
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'qwq-32b': { prompt: 0.15, completion: 0.4 },
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// Qwen3 models
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qwen3: { prompt: 0.035, completion: 0.138 }, // Qwen3 base pattern (using qwen3-4b pricing)
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'qwen3-8b': { prompt: 0.035, completion: 0.138 },
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'qwen3-14b': { prompt: 0.05, completion: 0.22 },
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'qwen3-30b-a3b': { prompt: 0.06, completion: 0.22 },
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'qwen3-32b': { prompt: 0.05, completion: 0.2 },
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'qwen3-235b-a22b': { prompt: 0.08, completion: 0.55 },
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// Qwen3 VL (Vision-Language) models
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'qwen3-vl-8b-thinking': { prompt: 0.18, completion: 2.1 },
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'qwen3-vl-8b-instruct': { prompt: 0.18, completion: 0.69 },
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'qwen3-vl-30b-a3b': { prompt: 0.29, completion: 1.0 },
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'qwen3-vl-235b-a22b': { prompt: 0.3, completion: 1.2 },
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// Qwen3 specialized models
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'qwen3-max': { prompt: 1.2, completion: 6 },
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'qwen3-coder': { prompt: 0.22, completion: 0.95 },
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'qwen3-coder-30b-a3b': { prompt: 0.06, completion: 0.25 },
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'qwen3-coder-plus': { prompt: 1, completion: 5 },
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'qwen3-coder-flash': { prompt: 0.3, completion: 1.5 },
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'qwen3-next-80b-a3b': { prompt: 0.1, completion: 0.8 },
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},
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bedrockValues,
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);
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/**
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* Mapping of model token sizes to their respective multipliers for cached input, read and write.
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* See Anthropic's documentation on this: https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching#pricing
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* The rates are 1 USD per 1M tokens.
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* @type {Object.<string, {write: number, read: number }>}
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*/
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const cacheTokenValues = {
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'claude-3.7-sonnet': { write: 3.75, read: 0.3 },
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'claude-3-7-sonnet': { write: 3.75, read: 0.3 },
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'claude-3.5-sonnet': { write: 3.75, read: 0.3 },
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'claude-3-5-sonnet': { write: 3.75, read: 0.3 },
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'claude-3.5-haiku': { write: 1, read: 0.08 },
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'claude-3-5-haiku': { write: 1, read: 0.08 },
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'claude-3-haiku': { write: 0.3, read: 0.03 },
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'claude-sonnet-4': { write: 3.75, read: 0.3 },
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'claude-opus-4': { write: 18.75, read: 1.5 },
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};
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/**
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* Retrieves the key associated with a given model name.
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*
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* @param {string} model - The model name to match.
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* @param {string} endpoint - The endpoint name to match.
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* @returns {string|undefined} The key corresponding to the model name, or undefined if no match is found.
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*/
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const getValueKey = (model, endpoint) => {
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if (!model || typeof model !== 'string') {
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return undefined;
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}
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// Use findMatchingPattern directly against tokenValues for efficient lookup
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if (!endpoint || (typeof endpoint === 'string' && !tokenValues[endpoint])) {
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const matchedKey = findMatchingPattern(model, tokenValues);
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if (matchedKey) {
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return matchedKey;
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}
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}
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// Fallback: use matchModelName for edge cases and legacy handling
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const modelName = matchModelName(model, endpoint);
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if (!modelName) {
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return undefined;
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}
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// Legacy token size mappings and aliases for older models
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if (modelName.includes('gpt-3.5-turbo-16k')) {
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return '16k';
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} else if (modelName.includes('gpt-3.5')) {
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return '4k';
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} else if (modelName.includes('gpt-4-vision')) {
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return 'gpt-4-1106'; // Alias for gpt-4-vision
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} else if (modelName.includes('gpt-4-0125')) {
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return 'gpt-4-1106'; // Alias for gpt-4-0125
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} else if (modelName.includes('gpt-4-turbo')) {
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return 'gpt-4-1106'; // Alias for gpt-4-turbo
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} else if (modelName.includes('gpt-4-32k')) {
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return '32k';
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} else if (modelName.includes('gpt-4')) {
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return '8k';
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}
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return undefined;
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};
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/**
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* Retrieves the multiplier for a given value key and token type. If no value key is provided,
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* it attempts to derive it from the model name.
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*
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* @param {Object} params - The parameters for the function.
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* @param {string} [params.valueKey] - The key corresponding to the model name.
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* @param {'prompt' | 'completion'} [params.tokenType] - The type of token (e.g., 'prompt' or 'completion').
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* @param {string} [params.model] - The model name to derive the value key from if not provided.
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* @param {string} [params.endpoint] - The endpoint name to derive the value key from if not provided.
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* @param {EndpointTokenConfig} [params.endpointTokenConfig] - The token configuration for the endpoint.
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* @returns {number} The multiplier for the given parameters, or a default value if not found.
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*/
|
|
const getMultiplier = ({ valueKey, tokenType, model, endpoint, endpointTokenConfig }) => {
|
|
if (endpointTokenConfig) {
|
|
return endpointTokenConfig?.[model]?.[tokenType] ?? defaultRate;
|
|
}
|
|
|
|
if (valueKey && tokenType) {
|
|
return tokenValues[valueKey][tokenType] ?? defaultRate;
|
|
}
|
|
|
|
if (!tokenType || !model) {
|
|
return 1;
|
|
}
|
|
|
|
valueKey = getValueKey(model, endpoint);
|
|
if (!valueKey) {
|
|
return defaultRate;
|
|
}
|
|
|
|
// If we got this far, and values[tokenType] is undefined somehow, return a rough average of default multipliers
|
|
return tokenValues[valueKey]?.[tokenType] ?? defaultRate;
|
|
};
|
|
|
|
/**
|
|
* Retrieves the cache multiplier for a given value key and token type. If no value key is provided,
|
|
* it attempts to derive it from the model name.
|
|
*
|
|
* @param {Object} params - The parameters for the function.
|
|
* @param {string} [params.valueKey] - The key corresponding to the model name.
|
|
* @param {'write' | 'read'} [params.cacheType] - The type of token (e.g., 'write' or 'read').
|
|
* @param {string} [params.model] - The model name to derive the value key from if not provided.
|
|
* @param {string} [params.endpoint] - The endpoint name to derive the value key from if not provided.
|
|
* @param {EndpointTokenConfig} [params.endpointTokenConfig] - The token configuration for the endpoint.
|
|
* @returns {number | null} The multiplier for the given parameters, or `null` if not found.
|
|
*/
|
|
const getCacheMultiplier = ({ valueKey, cacheType, model, endpoint, endpointTokenConfig }) => {
|
|
if (endpointTokenConfig) {
|
|
return endpointTokenConfig?.[model]?.[cacheType] ?? null;
|
|
}
|
|
|
|
if (valueKey && cacheType) {
|
|
return cacheTokenValues[valueKey]?.[cacheType] ?? null;
|
|
}
|
|
|
|
if (!cacheType || !model) {
|
|
return null;
|
|
}
|
|
|
|
valueKey = getValueKey(model, endpoint);
|
|
if (!valueKey) {
|
|
return null;
|
|
}
|
|
|
|
// If we got this far, and values[cacheType] is undefined somehow, return a rough average of default multipliers
|
|
return cacheTokenValues[valueKey]?.[cacheType] ?? null;
|
|
};
|
|
|
|
module.exports = {
|
|
tokenValues,
|
|
getValueKey,
|
|
getMultiplier,
|
|
getCacheMultiplier,
|
|
defaultRate,
|
|
cacheTokenValues,
|
|
};
|