Firesearch Max on IFEval: score, rank and what it means
Firesearch Max scores 78.0 on IFEval, placing it #368 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.
Score distribution
The chart shows the top 10 models on IFEval, with Firesearch Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 8 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
What this score means
On IFEval, Firesearch Max sits at #368 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 18.1 points. The median model in this index scores 81.2, which puts Firesearch Max below the midpoint.
Fireworks AI models average 76.8 on this benchmark. Firesearch Max is 1.2 points above that provider line, so it is a stronger result than the average Fireworks AI model.
Among mid-range models, the average is 76.5. Firesearch Max is 1.5 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 78.0 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 $7.80 per million input tokens, Firesearch Max is above the median input price of $4.00 across the 600 models scored on IFEval. 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 |
|---|---|---|---|---|
| Reka Core Mini | Reka AI | 8192 | $7.48 | 70.1 |
| o3 Nano | OpenAI | 32768 | $7.78 | 70.6 |
| Auto Max | OpenRouter | 8192 | $8.41 | 71.2 |
| Firesearch | Fireworks AI | 32768 | $7.03 | 68.5 |
| Firesearch Max | Fireworks AI | 8192 | $7.80 | 69.9 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Arctic Chat | Snowflake | 16384 | $2.70 | 69.8 |
Other benchmarks for Firesearch Max
| 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 | |
| TruthfulQA | 71.7 | 384 | 36th | |
| HellaSwag | 81.1 | 366 | 39th | |
| MMMU | 67.3 | 355 | 41th | |
| Arena Elo | 1361.1 | 341 | 43th |
FAQ
What score does Firesearch Max get on IFEval?
Firesearch Max scores 78.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does Firesearch Max rank on IFEval?
It ranks #368 of 600 models, in the 39th percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is Firesearch Max good at IFEval?
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 IFEval score calculated?
IFEval is a instruction following 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 Max cost?
Firesearch Max costs $7.80 per million input tokens and $31.80 per million output tokens.