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fix: update DeepSeek pricing to new rates effective Sept 5, 2025
- Updated deepseek-chat pricing: - Input (cache miss): $0.27 -> $0.56 per million tokens - Output: $1.10 -> $1.68 per million tokens - Cache reads remain at $0.07 per million tokens - Updated deepseek-reasoner pricing: - Input (cache miss): $0.55 -> $0.56 per million tokens - Output: $2.19 -> $1.68 per million tokens - Cache reads: $0.14 -> $0.07 per million tokens Both models now have unified pricing as per the new pricing structure. Fixes #7685
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1 changed files with 8 additions and 8 deletions
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@ -11,10 +11,10 @@ export const deepSeekModels = {
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contextWindow: 128_000,
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supportsImages: false,
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supportsPromptCache: true,
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inputPrice: 0.27, // $0.27 per million tokens (cache miss)
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outputPrice: 1.1, // $1.10 per million tokens
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cacheWritesPrice: 0.27, // $0.27 per million tokens (cache miss)
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cacheReadsPrice: 0.07, // $0.07 per million tokens (cache hit).
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inputPrice: 0.56, // $0.56 per million tokens (cache miss)
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outputPrice: 1.68, // $1.68 per million tokens
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cacheWritesPrice: 0.56, // $0.56 per million tokens (cache miss)
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cacheReadsPrice: 0.07, // $0.07 per million tokens (cache hit)
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description: `DeepSeek-V3 achieves a significant breakthrough in inference speed over previous models. It tops the leaderboard among open-source models and rivals the most advanced closed-source models globally.`,
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},
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"deepseek-reasoner": {
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@ -22,10 +22,10 @@ export const deepSeekModels = {
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contextWindow: 128_000,
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supportsImages: false,
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supportsPromptCache: true,
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inputPrice: 0.55, // $0.55 per million tokens (cache miss)
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outputPrice: 2.19, // $2.19 per million tokens
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cacheWritesPrice: 0.55, // $0.55 per million tokens (cache miss)
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cacheReadsPrice: 0.14, // $0.14 per million tokens (cache hit)
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inputPrice: 0.56, // $0.56 per million tokens (cache miss)
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outputPrice: 1.68, // $1.68 per million tokens
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cacheWritesPrice: 0.56, // $0.56 per million tokens (cache miss)
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cacheReadsPrice: 0.07, // $0.07 per million tokens (cache hit)
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description: `DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. Supports Chain of Thought reasoning with up to 64K output tokens.`,
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},
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} as const satisfies Record<string, ModelInfo>
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