Firesearch Reasoning: pricing, context window and benchmarks
Firesearch Reasoning is a mid-range model from Fireworks AI. It offers a 32,768-token context window, costs $7.74 per million input tokens and $33.47 per million output tokens, and averages 69.0 across the index's benchmark suite.
Pricing
Firesearch Reasoning costs $7.74 per million input tokens and $33.47 per million output tokens. A blended 3:1 input-to-output mix works out to about $14.17 per million tokens. Cached input is listed at $1.02 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.74 | per 1M tokens |
| Output | $33.47 | per 1M tokens |
| Cached input | $1.02 | per 1M tokens |
| Blended 3:1 | $14.17 | estimate per 1M tokens |
| 1M in + 1M out | $41.21 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 72.3 | 381 | 37th | |
| GPQA Diamond | 63.1 | 382 | 36th | |
| SWE-bench Verified | 55.7 | 378 | 37th | |
| HumanEval | 71.9 | 380 | 37th | |
| MATH-500 | 70.9 | 380 | 37th | |
| AIME 2025 | 62.8 | 367 | 39th | |
| LiveCodeBench | 63.9 | 321 | 47th | |
| IFEval | 77.3 | 376 | 37th | |
| TruthfulQA | 71.9 | 382 | 36th | |
| HellaSwag | 81.8 | 354 | 41th | |
| MMMU | 66.9 | 361 | 40th | |
| Arena Elo | 1364.8 | 332 | 45th |
What Firesearch Reasoning is good for
Firesearch 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 $7.74 per million input tokens with a 32,768-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.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Gemini 2.5 Pro Nano | Google DeepMind | 32768 | $7.28 | 69.2 |
| DBRX Base | Databricks | 32768 | $2.63 | 69.1 |
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Phi-3.5 Chat | Microsoft | 16384 | $2.64 | 69.0 |
| Claude 3.7 Sonnet Nano | Anthropic | 65536 | $6.93 | 68.9 |
| Arctic | Snowflake | 8192 | $2.72 | 68.8 |
FAQ
How much does Firesearch Reasoning cost?
Firesearch Reasoning is listed at $7.74 per million input tokens and $33.47 per million output tokens. Cached input is $1.02 per million tokens. A blended 3:1 input-to-output mix is about $14.17 per million tokens.
What is the context window of Firesearch Reasoning?
Firesearch Reasoning has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Firesearch Reasoning open weights?
No. Firesearch Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Firesearch Reasoning score on benchmarks?
Firesearch Reasoning averages 69.0 across the scored benchmarks in this index, ranking #372 of 600 models. Its strongest relative result is Arena Elo at 1364.8.
What is Firesearch Reasoning best for?
Firesearch 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 $7.74 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.