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"input": "1K" }, "mistral-mm3.5": { "input": "1K", "output": "1K" }, "mistral-small": { "input": "1K", "output": "1K" }, "mixtral-8x7b": { "output": "1K", "input": "1K" }, "nemotron-nano-3-30b": { "input": "1K", "output": "1K" }, "nova-2-0-lite": { "input": "1K", "cached": "1K", "output": "1K" }, "nova-2-0-omni": { "input": "1K", "output": "1K" }, "nova-2-0-pro": { "input": "1K", "output": "1K" }, "nova-lite": { "input": "1K", "output": "1K", "cached": "1K" }, "nova-micro": { "cached": "1K", "input": "1K", "output": "1K" }, "nova-premier": { "input": "1K", "output": "1K", "cached": "1K" }, "nova-pro": { "cached": "1K", "output": "1K", "input": "1K" }, "nova-pro-latency-optimized": { "output": "1K", "input": "1K" }, "nova-sonic": { "output": "1K", "input": "1K" }, "nova-sonic-2-0": { "output": "1K", "input": "1K" }, "nvidia-nemotron-3-super-120b-a12b": { "output": "1K", "input": "1K" }, "nvidia-nemotron-nano-2": { "output": "1K", "input": "1K" }, "nvidia-nemotron-nano-2-vl": { "output": "1K", "input": "1K" }, "o1": { "cached": "1K", "output": "1K", "input": "1K" }, "o1-mini": { "cached": "1K", "output": "1K", "input": "1K" }, "o1-preview": { "input": "1K", "output": "1K", "cached": "1K" }, "o1-pro": { "output": "1K", "input": "1K" }, "o3": { "input": "1K", "output": "1K", "cached": "1K" }, "o3-deep-research": { "cached": "1M", "output": "1M", "input": "1M" }, "o3-mini": { "cached": "1K", "output": "1K", "input": "1K" }, "o3-pro": { "output": "1K", "input": "1K" }, "o4-mini": { "output": "1K", "input": "1K", "cached": "1K" }, "o4-mini-dev-rft": { "output": "1K", "cached": "1K", "input": "1K" }, "phi-3-medium-128k-instruct": { "output": "1K", "input": "1K" }, "phi-3-medium-4k-instruct": { "input": "1K", "output": "1K" }, "phi-3-mini-128k-instruct": { "output": "1K", "input": "1K" }, "phi-3-mini-4k-instruct": { "input": "1K", "output": "1K" }, "phi-3-small-128k-instruct": { "input": "1K", "output": "1K" }, "phi-3-small-8k-instruct": { "output": "1K", "input": "1K" }, "phi-3.5-mini-128k-instruct": { "input": "1K", "output": "1K" }, "phi-3.5-moe-instruct": { "input": "1K", "output": "1K" }, "phi-3.5-v-128k-instruct": { "input": "1K", "output": "1K" }, "phi-4": { "output": "1K", "input": "1K" }, "phi-4-mini": { "input": "1K", "output": "1K" }, "phi-4-mini-mm": { "input": "1K", "output": "1K" }, "phi-4-mini-reasoning": { "input": "1K", "output": "1K" }, "phi-4-reasoning": { "output": "1K", "input": "1K" }, "phi-4-reasoning-plus": { "output": "1K", "input": "1K" }, "pixtral-large-25-02": { "output": "1K", "input": "1K" }, "qwen3-235b-a22b-2507": { "output": "1K", "input": "1K" }, "qwen3-32b": { "output": "1K", "input": "1K" }, "qwen3-coder-30b-a3b": { "input": "1K", "output": "1K" }, "qwen3-coder-480b-a35b": { "input": "1K", "output": "1K" }, "qwen3-coder-next": { "input": "1K", "output": "1K" }, "qwen3-next-80b-a3b": { "output": "1K", "input": "1K" }, "qwen3-vl-235b-a22b": { "input": "1K", "output": "1K" }, "r1": { "input": "1K", "output": "1K" }, "voxtral-mini-1-0": { "output": "1K", "input": "1K" }, "voxtral-small-1-0": { "input": "1K", "output": "1K" }, "writer-palmyra-vision-7b": { "input": "1K", "output": "1K" } }, "_withheld": [ { "model": "cohere.embed-multilingual-light-v3.0", "key": "input", "value": "0.0000001", "ratio": 1000, "cohort": 2, "reason": "two sources disagree by more than the unit-error factor and neither is better corroborated; neither is trusted" }, { "model": "embed-multilingual-light-v3.0", "key": "input", "value": "0.0001", "ratio": 1000, "cohort": 2, "reason": "two sources disagree by more than the unit-error factor and neither is better corroborated; neither is trusted" }, { "model": "deepseek-ai/deepseek-r1-0528", "key": "input", "value": "0.135", "ratio": 45000, "cohort": 3, "reason": "45000x from the median 0.000003 of its 3-row cohort \"deepseek-r1-0528\"" }, { "model": "deepseek-ai/deepseek-v3-0324", "key": "input", "value": "0.114", "ratio": 126666.67, "cohort": 3, "reason": "126666.67x from the median 0.0000009 of its 3-row cohort \"deepseek-v3-0324\"" }, { "model": "deepseek-ai/deepseek-v3.1", "key": "input", "value": "0.055", "ratio": 44715.45, "cohort": 3, "reason": "44715.45x from the median 0.00000123 of its 3-row cohort \"deepseek-v3.1\"" }, { "model": "microsoft/phi-4-mini-instruct", "key": "input", "value": "0.008", "ratio": 100000, "cohort": 2, "reason": "phi-4-mini-instruct is better corroborated ({\"sources\":2,\"tier1\":false}) and is kept" }, { "model": "accounts/fireworks/models/flux-1-dev", "key": "input", "value": "0.0000001", "ratio": null, "cohort": null, "reason": "litellm labels this row `mode: chat` but labels its own sibling fireworks_ai/accounts/fireworks/models/flux-1-dev-fp8 (image_generation) — the same model one variant apart. A per-image price in a per-token field is a unit error whatever the label says, so the row is withheld rather than published at a plausible-looking rate." }, { "model": "accounts/fireworks/models/flux-1-schnell", "key": "input", "value": "0.0000001", "ratio": null, "cohort": null, "reason": "litellm labels this row `mode: chat` but labels its own sibling fireworks_ai/accounts/fireworks/models/flux-1-schnell-fp8 (image_generation) — the same model one variant apart. A per-image price in a per-token field is a unit error whatever the label says, so the row is withheld rather than published at a plausible-looking rate." }, { "model": "pplx-embed-v1-0.6b", "key": "input", "value": "4e-9", "ratio": null, "cohort": null, "reason": "input rate of $0.004/1M is below the $0.005/1M sanity floor and nobody has reviewed it. A per-image or per-second price sitting in a per-token field lands here; so does a genuinely very cheap model, which is why the reason is published rather than the row silently dropped." }, { "model": "accounts/fireworks/models/flux-1-dev-controlnet-union", "key": "input", "value": "1e-9", "ratio": null, "cohort": null, "reason": "input rate of $0.001/1M is below the $0.005/1M sanity floor and nobody has reviewed it. A per-image or per-second price sitting in a per-token field lands here; so does a genuinely very cheap model, which is why the reason is published rather than the row silently dropped." }, { "model": "deepseek-v3", "key": "cached", "value": "0.00000007", "ratio": 0.236842105263, "cohort": null, "reason": "litellm states a cached rate for this model but prices its input at 0.236842105263x the winning source's (azure) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "deepseek-v3", "key": "cache_write", "value": "0", "ratio": 0.236842105263, "cohort": null, "reason": "litellm states a cache_write rate for this model but prices its input at 0.236842105263x the winning source's (azure) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "deepseek-v4-pro", "key": "cache_write", "value": "0", "ratio": 0.25, "cohort": null, "reason": "litellm states a cache_write rate for this model but prices its input at 0.25x the winning source's (azure) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "glm-4.7", "key": "cache_write", "value": "0", "ratio": 2.173913043478, "cohort": null, "reason": "litellm states a cache_write rate for this model but prices its input at 2.173913043478x the winning source's (genaiprices) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "mimo-v2.5", "key": "cached", "value": "0.0000000028", "ratio": 0.35, "cohort": null, "reason": "genaiprices states a cached rate for this model but prices its input at 0.35x the winning source's (modelsdev) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "mimo-v2.5-pro", "key": "cached", "value": "0.0000000036", "ratio": 0.435, "cohort": null, "reason": "genaiprices states a cached rate for this model but prices its input at 0.435x the winning source's (modelsdev) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "qwen3-235b-a22b-thinking-2507", "key": "cached", "value": "0.0000001", "ratio": 0.333333333333, "cohort": null, "reason": "genaiprices states a cached rate for this model but prices its input at 0.333333333333x the winning source's (modelsdev) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." }, { "model": "qwen3-coder-next", "key": "cached", "value": "0.00000007", "ratio": 0.22, "cohort": null, "reason": "genaiprices states a cached rate for this model but prices its input at 0.22x the winning source's (aws) — a different price tier, so filling would mix two tiers. The key is absent instead; `prices/1`'s fallback over-estimates rather than fabricates." } ] }