Coding · Fireworks AI

Firefunction Reasoning on LiveCodeBench: score, rank and what it means

Firefunction Reasoning scores 63.7 on LiveCodeBench, placing it #326 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
63.7
0–100 scale
Rank
#326
of 600
Percentile
46th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
21.4
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Firefunction Reasoning highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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, Firefunction Reasoning sits at #326 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 21.4 points. The median model in this index scores 64.7, which puts Firefunction Reasoning below the midpoint.

Fireworks AI models average 58.6 on this benchmark. Firefunction Reasoning is 5.1 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. Firefunction Reasoning is 5.4 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 63.7 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 $9.08 per million input tokens, Firefunction Reasoning 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.

ModelProviderContextInput / 1MAvg score
Fusion Pro OpenRouter 65536 $8.69 72.2
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Firesearch Max Fireworks AI 8192 $7.80 69.9
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7

Other benchmarks for Firefunction Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.7 359 40th
GPQA Diamond 68.2 309 49th
SWE-bench Verified 58.2 351 42th
HumanEval 77.2 306 49th
MATH-500 76.5 290 52th
AIME 2025 71.4 232 61th
IFEval 81.1 306 49th
TruthfulQA 77.5 268 55th
HellaSwag 83.1 316 47th
MMMU 67.3 354 41th
Arena Elo 1359.1 346 42th

FAQ

What score does Firefunction Reasoning get on LiveCodeBench?

Firefunction Reasoning scores 63.7 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Firefunction Reasoning rank on LiveCodeBench?

It ranks #326 of 600 models, in the 46th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Firefunction Reasoning 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 Firefunction Reasoning cost?

Firefunction Reasoning costs $9.08 per million input tokens and $42.16 per million output tokens.

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