Firesearch Turbo on SWE-bench Verified: score, rank and what it means
Firesearch Turbo scores 57.6 on SWE-bench Verified, placing it #362 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.
Score distribution
The chart shows the top 10 models on SWE-bench Verified, with Firesearch Turbo highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 3 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 4 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
| 5 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 8 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
What this score means
On SWE-bench Verified, Firesearch Turbo sits at #362 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 24.1 points. The median model in this index scores 61.0, which puts Firesearch Turbo below the midpoint.
Fireworks AI models average 55.4 on this benchmark. Firesearch Turbo is 2.2 points above that provider line, so it is a stronger result than the average Fireworks AI model.
Among mid-range models, the average is 54.9. Firesearch Turbo is 2.7 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 57.6 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $7.58 per million input tokens, Firesearch Turbo is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| o3 Nano | OpenAI | 32768 | $7.78 | 70.6 |
| Mixtral Groq Instruct | Groq | 16384 | $3.25 | 72.5 |
| Mixtral Turbo | Together AI | 65536 | $3.20 | 72.4 |
| Arctic Chat | Snowflake | 16384 | $2.70 | 69.8 |
| Firesearch Turbo | Fireworks AI | 16384 | $7.58 | 69.3 |
| OLMo 2 | Allen Institute for AI | 65536 | $2.99 | 71.0 |
| Molmo Instruct | Allen Institute for AI | 32768 | $2.53 | 68.3 |
Other benchmarks for Firesearch Turbo
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.2 | 347 | 42th | |
| GPQA Diamond | 64.4 | 372 | 38th | |
| HumanEval | 73.6 | 366 | 39th | |
| MATH-500 | 74.9 | 326 | 46th | |
| AIME 2025 | 61.3 | 380 | 37th | |
| LiveCodeBench | 62.0 | 348 | 42th | |
| IFEval | 77.4 | 374 | 38th | |
| TruthfulQA | 72.6 | 374 | 38th | |
| HellaSwag | 79.8 | 380 | 37th | |
| MMMU | 64.0 | 389 | 35th | |
| Arena Elo | 1352.1 | 361 | 40th |
FAQ
What score does Firesearch Turbo get on SWE-bench Verified?
Firesearch Turbo scores 57.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.
How does Firesearch Turbo rank on SWE-bench Verified?
It ranks #362 of 600 models, in the 40th percentile. The leader is GPT-5.2 Pro at 81.7.
Is Firesearch Turbo good at SWE-bench Verified?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the SWE-bench Verified score calculated?
SWE-bench Verified is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Firesearch Turbo cost?
Firesearch Turbo costs $7.58 per million input tokens and $33.44 per million output tokens.