Fireworks AI · mid-range · Released 2025-10-20

Firefunction Reasoning: pricing, context window and benchmarks

Firefunction Reasoning is a mid-range model from Fireworks AI. It offers a 8,192-token context window, costs $9.08 per million input tokens and $42.16 per million output tokens, and averages 72.5 across the index's benchmark suite.

reasoningvisionmultimodal
Input price
$9.08
per 1M tokens
Output price
$42.16
per 1M tokens
Context
8,192
tokens
Avg score
72.5
rank #313 of 600
Arena Elo
1359.1
modelled
Max output
8,192
tokens

Pricing

Firefunction Reasoning costs $9.08 per million input tokens and $42.16 per million output tokens. A blended 3:1 input-to-output mix works out to about $17.35 per million tokens. Cached input is listed at $1.09 per million tokens.

ItemPriceNotes
Input$9.08per 1M tokens
Output$42.16per 1M tokens
Cached input$1.09per 1M tokens
Blended 3:1$17.35estimate per 1M tokens
1M in + 1M out$51.24estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.7 359 40th
GPQA Diamond 68.2 309 49th
SWE-bench Verified 58.2 351 42th
HumanEval 77.2 306 49th
MATH-500 76.5 290 52th
AIME 2025 71.4 232 61th
LiveCodeBench 63.7 326 46th
IFEval 81.1 306 49th
TruthfulQA 77.5 268 55th
HellaSwag 83.1 316 47th
MMMU 67.3 354 41th
Arena Elo 1359.1 346 42th

What Firefunction Reasoning is good for

Firefunction Reasoning is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $9.08 per million input tokens with a 8,192-token window, check its benchmark profile against the specific task before committing.

Strengths

  • Accepts more than text, including image input where the provider supports it.
  • Reasoning-oriented profile, useful for multi-step problems and structured analysis.

Trade-offs

  • Proprietary licence: you cannot download the weights or self-host the model.
  • Premium input pricing at $9.08 per million tokens.
  • Context window of 8,192 tokens is small for long-document work.
  • Average benchmark score is below the index median; test it on your own task.

How it compares

ModelProviderContextInput / 1MAvg score
Mixtral Chat Mistral AI 65536 $3.30 72.6
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Fusion Max OpenRouter 65536 $9.14 72.5
Mixtral Groq Instruct Groq 16384 $3.25 72.5
DBRX Instruct Databricks 8192 $3.21 72.4
Mixtral Turbo Together AI 65536 $3.20 72.4

Browse all comparisons →

FAQ

How much does Firefunction Reasoning cost?

Firefunction Reasoning is listed at $9.08 per million input tokens and $42.16 per million output tokens. Cached input is $1.09 per million tokens. A blended 3:1 input-to-output mix is about $17.35 per million tokens.

What is the context window of Firefunction Reasoning?

Firefunction Reasoning has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.

Is Firefunction Reasoning open weights?

No. Firefunction Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.

How does Firefunction Reasoning score on benchmarks?

Firefunction Reasoning averages 72.5 across the scored benchmarks in this index, ranking #313 of 600 models. Its strongest relative result is Arena Elo at 1359.1.

What is Firefunction Reasoning best for?

Firefunction Reasoning is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $9.08 per million input tokens with a 8,192-token window, check its benchmark profile against the specific task before committing.

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