Firesearch Max: pricing, context window and benchmarks
Firesearch Max is a mid-range model from Fireworks AI. It offers a 8,192-token context window, costs $7.80 per million input tokens and $31.80 per million output tokens, and averages 69.9 across the index's benchmark suite.
Pricing
Firesearch Max costs $7.80 per million input tokens and $31.80 per million output tokens. A blended 3:1 input-to-output mix works out to about $13.80 per million tokens. Cached input is listed at $1.11 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.80 | per 1M tokens |
| Output | $31.80 | per 1M tokens |
| Cached input | $1.11 | per 1M tokens |
| Blended 3:1 | $13.80 | estimate per 1M tokens |
| 1M in + 1M out | $39.60 | 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 | 72.2 | 382 | 36th | |
| GPQA Diamond | 65.2 | 356 | 41th | |
| SWE-bench Verified | 61.0 | 297 | 51th | |
| HumanEval | 72.9 | 373 | 38th | |
| MATH-500 | 73.0 | 358 | 40th | |
| AIME 2025 | 62.5 | 370 | 38th | |
| LiveCodeBench | 63.7 | 327 | 46th | |
| IFEval | 78.0 | 368 | 39th | |
| TruthfulQA | 71.7 | 384 | 36th | |
| HellaSwag | 81.1 | 366 | 39th | |
| MMMU | 67.3 | 355 | 41th | |
| Arena Elo | 1361.1 | 341 | 43th |
What Firesearch Max is good for
Firesearch Max 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 $7.80 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.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- 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
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Auto | OpenRouter | 32768 | $7.53 | 70.2 |
| Phi-3.5 Instruct | Microsoft | 16384 | $2.67 | 70.1 |
| Reka Core Mini | Reka AI | 8192 | $7.48 | 70.1 |
| Firesearch Max | Fireworks AI | 8192 | $7.80 | 69.9 |
| Arctic Chat | Snowflake | 16384 | $2.70 | 69.8 |
| Mixtral Turbo Base | Together AI | 32768 | $2.53 | 69.7 |
FAQ
How much does Firesearch Max cost?
Firesearch Max is listed at $7.80 per million input tokens and $31.80 per million output tokens. Cached input is $1.11 per million tokens. A blended 3:1 input-to-output mix is about $13.80 per million tokens.
What is the context window of Firesearch Max?
Firesearch Max has a context window of 8,192 tokens and can emit up to 4,096 output tokens per request in this index.
Is Firesearch Max open weights?
No. Firesearch Max is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Firesearch Max score on benchmarks?
Firesearch Max averages 69.9 across the scored benchmarks in this index, ranking #365 of 600 models. Its strongest relative result is Arena Elo at 1361.1.
What is Firesearch Max best for?
Firesearch Max 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 $7.80 per million input tokens with a 8,192-token window, check its benchmark profile against the specific task before committing.