Coding · OpenRouter

Fusion Turbo on HumanEval: score, rank and what it means

Fusion Turbo scores 76.2 on HumanEval, placing it #324 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
76.2
0–100 scale
Rank
#324
of 600
Percentile
46th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
20.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Fusion Turbo highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Fusion Turbo sits at #324 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 20.6 points. The median model in this index scores 77.4, which puts Fusion Turbo below the midpoint.

OpenRouter models average 73.0 on this benchmark. Fusion Turbo is 3.2 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 71.5. Fusion Turbo is 4.7 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 76.2 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 $8.55 per million input tokens, Fusion Turbo is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
Command A Mini Cohere 8192 $8.12 71.0
Llama 3.1 Base Meta AI 32768 $3.39 72.2
Claude Haiku 4.5 Mini Anthropic 16384 $8.76 71.6
Fusion Turbo OpenRouter 8192 $8.55 71.7
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8

Other benchmarks for Fusion Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.0 307 49th
GPQA Diamond 67.3 324 46th
SWE-bench Verified 58.3 349 42th
MATH-500 77.8 261 57th
AIME 2025 64.0 355 41th
LiveCodeBench 60.4 362 40th
IFEval 80.5 320 47th
TruthfulQA 74.5 340 43th
HellaSwag 82.4 339 44th
MMMU 71.1 270 55th
Arena Elo 1368.7 323 46th

FAQ

What score does Fusion Turbo get on HumanEval?

Fusion Turbo scores 76.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Fusion Turbo rank on HumanEval?

It ranks #324 of 600 models, in the 46th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Fusion Turbo good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 Fusion Turbo cost?

Fusion Turbo costs $8.55 per million input tokens and $40.27 per million output tokens.

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