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💰 feat: Add gpt-5.3 context window and pricing (#12049)
* 💰 feat: Add gpt-5.3 context window and pricing * 💰 feat: Add OpenAI cached input pricing and `gpt-5.2-pro` model - Add cached input pricing (write/read) for gpt-4o, gpt-4.1, gpt-5.x, o1, o3, o4-mini models with correct per-family discount tiers - Add gpt-5.2-pro pricing ($21/$168), context window, and max output - Pro models (gpt-5-pro, gpt-5.2-pro) correctly excluded from cache pricing as OpenAI does not support caching for these * 🔍 fix: Address review findings for OpenAI pricing - Add o1-preview to cacheTokenValues (50% discount, same as o1) - Fix comment to enumerate all models per discount tier - Add cache tests for dated variants (gpt-4o-2024-08-06, etc.) - Add gpt-5-mini/gpt-5-nano to 10% ratio invariant test - Replace forEach with for...of in new test code - Fix inconsistent test description phrasing - Add gpt-5.3-preview to context window tests
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Danny Avila
GitHub
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4 changed files with 156 additions and 2 deletions
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@ -150,9 +150,11 @@ const tokenValues = Object.assign(
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'gpt-5': { prompt: 1.25, completion: 10 },
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'gpt-5.1': { prompt: 1.25, completion: 10 },
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'gpt-5.2': { prompt: 1.75, completion: 14 },
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'gpt-5.3': { prompt: 1.75, completion: 14 },
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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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'gpt-5.2-pro': { prompt: 21, completion: 168 },
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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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@ -316,6 +318,28 @@ const cacheTokenValues = {
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'claude-opus-4': { write: 18.75, read: 1.5 },
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'claude-opus-4-5': { write: 6.25, read: 0.5 },
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'claude-opus-4-6': { write: 6.25, read: 0.5 },
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// OpenAI models — cached input discount varies by family:
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// gpt-4o (incl. mini), o1 (incl. mini/preview): 50% off
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// gpt-4.1 (incl. mini/nano), o3 (incl. mini), o4-mini: 75% off
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// gpt-5.x (excl. pro variants): 90% off
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// gpt-5-pro, gpt-5.2-pro: no caching
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'gpt-4o': { write: 2.5, read: 1.25 },
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'gpt-4o-mini': { write: 0.15, read: 0.075 },
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'gpt-4.1': { write: 2, read: 0.5 },
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'gpt-4.1-mini': { write: 0.4, read: 0.1 },
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'gpt-4.1-nano': { write: 0.1, read: 0.025 },
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'gpt-5': { write: 1.25, read: 0.125 },
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'gpt-5.1': { write: 1.25, read: 0.125 },
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'gpt-5.2': { write: 1.75, read: 0.175 },
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'gpt-5.3': { write: 1.75, read: 0.175 },
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'gpt-5-mini': { write: 0.25, read: 0.025 },
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'gpt-5-nano': { write: 0.05, read: 0.005 },
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o1: { write: 15, read: 7.5 },
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'o1-mini': { write: 1.1, read: 0.55 },
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'o1-preview': { write: 15, read: 7.5 },
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o3: { write: 2, read: 0.5 },
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'o3-mini': { write: 1.1, read: 0.275 },
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'o4-mini': { write: 1.1, read: 0.275 },
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// DeepSeek models - cache hit: $0.028/1M, cache miss: $0.28/1M
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deepseek: { write: 0.28, read: 0.028 },
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'deepseek-chat': { write: 0.28, read: 0.028 },
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@ -52,6 +52,13 @@ describe('getValueKey', () => {
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expect(getValueKey('openai/gpt-5.2')).toBe('gpt-5.2');
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});
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it('should return "gpt-5.3" for model name containing "gpt-5.3"', () => {
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expect(getValueKey('gpt-5.3')).toBe('gpt-5.3');
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expect(getValueKey('gpt-5.3-chat-latest')).toBe('gpt-5.3');
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expect(getValueKey('gpt-5.3-codex')).toBe('gpt-5.3');
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expect(getValueKey('openai/gpt-5.3')).toBe('gpt-5.3');
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});
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it('should return "gpt-3.5-turbo-1106" for model name containing "gpt-3.5-turbo-1106"', () => {
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expect(getValueKey('gpt-3.5-turbo-1106-some-other-info')).toBe('gpt-3.5-turbo-1106');
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expect(getValueKey('openai/gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
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@ -138,6 +145,12 @@ describe('getValueKey', () => {
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expect(getValueKey('gpt-5-pro-preview')).toBe('gpt-5-pro');
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});
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it('should return "gpt-5.2-pro" for model name containing "gpt-5.2-pro"', () => {
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expect(getValueKey('gpt-5.2-pro')).toBe('gpt-5.2-pro');
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expect(getValueKey('gpt-5.2-pro-2025-03-01')).toBe('gpt-5.2-pro');
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expect(getValueKey('openai/gpt-5.2-pro')).toBe('gpt-5.2-pro');
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});
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it('should return "gpt-4o" for model type of "gpt-4o"', () => {
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expect(getValueKey('gpt-4o-2024-08-06')).toBe('gpt-4o');
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expect(getValueKey('gpt-4o-2024-08-06-0718')).toBe('gpt-4o');
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@ -336,6 +349,18 @@ describe('getMultiplier', () => {
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);
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});
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it('should return the correct multiplier for gpt-5.2-pro', () => {
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expect(getMultiplier({ model: 'gpt-5.2-pro', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-5.2-pro'].prompt,
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);
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expect(getMultiplier({ model: 'gpt-5.2-pro', tokenType: 'completion' })).toBe(
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tokenValues['gpt-5.2-pro'].completion,
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);
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expect(getMultiplier({ model: 'openai/gpt-5.2-pro', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-5.2-pro'].prompt,
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);
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});
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it('should return the correct multiplier for gpt-5.1', () => {
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expect(getMultiplier({ model: 'gpt-5.1', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-5.1'].prompt,
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@ -360,6 +385,21 @@ describe('getMultiplier', () => {
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);
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});
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it('should return the correct multiplier for gpt-5.3', () => {
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expect(getMultiplier({ model: 'gpt-5.3', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-5.3'].prompt,
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);
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expect(getMultiplier({ model: 'gpt-5.3', tokenType: 'completion' })).toBe(
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tokenValues['gpt-5.3'].completion,
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);
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expect(getMultiplier({ model: 'gpt-5.3-codex', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-5.3'].prompt,
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);
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expect(getMultiplier({ model: 'openai/gpt-5.3', tokenType: 'completion' })).toBe(
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tokenValues['gpt-5.3'].completion,
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);
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});
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it('should return the correct multiplier for gpt-4o', () => {
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const valueKey = getValueKey('gpt-4o-2024-08-06');
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expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-4o'].prompt);
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@ -1326,6 +1366,62 @@ describe('getCacheMultiplier', () => {
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).toBeNull();
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});
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it('should return correct cache multipliers for OpenAI models', () => {
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const openaiCacheModels = [
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'gpt-4o',
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'gpt-4o-mini',
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'gpt-4.1',
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'gpt-4.1-mini',
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'gpt-4.1-nano',
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'gpt-5',
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'gpt-5.1',
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'gpt-5.2',
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'gpt-5.3',
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'gpt-5-mini',
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'gpt-5-nano',
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'o1',
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'o1-mini',
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'o1-preview',
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'o3',
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'o3-mini',
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'o4-mini',
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];
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for (const model of openaiCacheModels) {
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expect(getCacheMultiplier({ model, cacheType: 'write' })).toBe(cacheTokenValues[model].write);
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expect(getCacheMultiplier({ model, cacheType: 'read' })).toBe(cacheTokenValues[model].read);
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}
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});
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it('should return correct cache multipliers for OpenAI dated variants', () => {
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expect(getCacheMultiplier({ model: 'gpt-4o-2024-08-06', cacheType: 'read' })).toBe(
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cacheTokenValues['gpt-4o'].read,
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);
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expect(getCacheMultiplier({ model: 'gpt-4.1-2026-01-01', cacheType: 'read' })).toBe(
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cacheTokenValues['gpt-4.1'].read,
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);
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expect(getCacheMultiplier({ model: 'gpt-5.3-codex', cacheType: 'read' })).toBe(
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cacheTokenValues['gpt-5.3'].read,
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);
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expect(getCacheMultiplier({ model: 'openai/gpt-5.3', cacheType: 'write' })).toBe(
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cacheTokenValues['gpt-5.3'].write,
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);
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});
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it('should return null for pro models that do not support caching', () => {
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expect(getCacheMultiplier({ model: 'gpt-5-pro', cacheType: 'read' })).toBeNull();
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expect(getCacheMultiplier({ model: 'gpt-5-pro', cacheType: 'write' })).toBeNull();
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expect(getCacheMultiplier({ model: 'gpt-5.2-pro', cacheType: 'read' })).toBeNull();
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expect(getCacheMultiplier({ model: 'gpt-5.2-pro', cacheType: 'write' })).toBeNull();
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});
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it('should have consistent 10% cache read pricing for gpt-5.x models', () => {
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const gpt5CacheModels = ['gpt-5', 'gpt-5.1', 'gpt-5.2', 'gpt-5.3', 'gpt-5-mini', 'gpt-5-nano'];
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for (const model of gpt5CacheModels) {
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expect(cacheTokenValues[model].read).toBeCloseTo(cacheTokenValues[model].write * 0.1, 10);
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}
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});
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it('should handle models with "bedrock/" prefix', () => {
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expect(
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getCacheMultiplier({
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@ -200,6 +200,20 @@ describe('getModelMaxTokens', () => {
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);
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});
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test('should return correct tokens for gpt-5.3 matches', () => {
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expect(getModelMaxTokens('gpt-5.3')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5.3']);
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expect(getModelMaxTokens('gpt-5.3-codex')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5.3']);
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expect(getModelMaxTokens('openai/gpt-5.3')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5.3'],
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);
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expect(getModelMaxTokens('gpt-5.3-2025-03-01')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5.3'],
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);
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expect(getModelMaxTokens('gpt-5.3-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5.3'],
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);
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});
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test('should return correct tokens for Anthropic models', () => {
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const models = [
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'claude-2.1',
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@ -492,7 +506,17 @@ describe('getModelMaxTokens', () => {
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test('should return correct max output tokens for GPT-5 models', () => {
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const { getModelMaxOutputTokens } = require('@librechat/api');
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['gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'gpt-5-pro'].forEach((model) => {
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const gpt5Models = [
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'gpt-5',
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'gpt-5.1',
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'gpt-5.2',
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'gpt-5.3',
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'gpt-5-mini',
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'gpt-5-nano',
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'gpt-5-pro',
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'gpt-5.2-pro',
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];
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for (const model of gpt5Models) {
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expect(getModelMaxOutputTokens(model)).toBe(maxOutputTokensMap[EModelEndpoint.openAI][model]);
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expect(getModelMaxOutputTokens(model, EModelEndpoint.openAI)).toBe(
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maxOutputTokensMap[EModelEndpoint.openAI][model],
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@ -500,7 +524,7 @@ describe('getModelMaxTokens', () => {
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expect(getModelMaxOutputTokens(model, EModelEndpoint.azureOpenAI)).toBe(
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maxOutputTokensMap[EModelEndpoint.azureOpenAI][model],
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);
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});
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}
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});
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test('should return correct max output tokens for GPT-OSS models', () => {
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@ -612,6 +636,12 @@ describe('matchModelName', () => {
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expect(matchModelName('gpt-5-pro-2025-01-30-0130')).toBe('gpt-5-pro');
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});
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it('should return the closest matching key for gpt-5.3 matches', () => {
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expect(matchModelName('openai/gpt-5.3')).toBe('gpt-5.3');
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expect(matchModelName('gpt-5.3-codex')).toBe('gpt-5.3');
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expect(matchModelName('gpt-5.3-2025-03-01')).toBe('gpt-5.3');
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});
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// Tests for Google models
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it('should return the exact model name if it exists in maxTokensMap - Google models', () => {
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expect(matchModelName('text-bison-32k', EModelEndpoint.google)).toBe('text-bison-32k');
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