Firesearch Pro on LiveCodeBench: score, rank and what it means
Firesearch Pro scores 63.9 on LiveCodeBench, placing it #320 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Firesearch Pro highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Firesearch Pro sits at #320 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 21.2 points. The median model in this index scores 64.7, which puts Firesearch Pro below the midpoint.
Fireworks AI models average 58.6 on this benchmark. Firesearch Pro is 5.3 points above that provider line, so it is a stronger result than the average Fireworks AI model.
Among mid-range models, the average is 58.3. Firesearch Pro is 5.6 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 63.9 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 $7.67 per million input tokens, Firesearch Pro is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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 |
|---|---|---|---|---|
| DBRX | Databricks | 65536 | $3.29 | 73.3 |
| Llama 3 Baseten Chat | Baseten | 200000 | $3.55 | 73.2 |
| Llama 3 Hyperbolic | Hyperbolic | 65536 | $3.86 | 74.5 |
| QwQ Base | Alibaba Cloud | 65536 | $3.68 | 74.1 |
| Firesearch Pro | Fireworks AI | 32768 | $7.67 | 70.4 |
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Fusion Pro | OpenRouter | 65536 | $8.69 | 72.2 |
Other benchmarks for Firesearch Pro
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 72.6 | 370 | 38th | |
| GPQA Diamond | 68.4 | 305 | 49th | |
| SWE-bench Verified | 59.8 | 330 | 45th | |
| HumanEval | 75.3 | 338 | 44th | |
| MATH-500 | 70.2 | 384 | 36th | |
| AIME 2025 | 61.0 | 382 | 36th | |
| IFEval | 80.1 | 331 | 45th | |
| TruthfulQA | 72.8 | 371 | 38th | |
| HellaSwag | 81.2 | 362 | 40th | |
| MMMU | 68.7 | 330 | 45th | |
| Arena Elo | 1362.0 | 340 | 43th |
FAQ
What score does Firesearch Pro get on LiveCodeBench?
Firesearch Pro scores 63.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Firesearch Pro rank on LiveCodeBench?
It ranks #320 of 600 models, in the 47th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Firesearch Pro good at LiveCodeBench?
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 LiveCodeBench score calculated?
LiveCodeBench 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 Pro cost?
Firesearch Pro costs $7.67 per million input tokens and $32.83 per million output tokens.