Coding · OpenRouter

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

Fusion Mini scores 67.2 on HumanEval, placing it #419 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
67.2
0–100 scale
Rank
#419
of 600
Percentile
30th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
29.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Fusion Mini 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 Mini sits at #419 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 29.6 points. The median model in this index scores 77.4, which puts Fusion Mini below the midpoint.

OpenRouter models average 73.0 on this benchmark. Fusion Mini is 5.8 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 71.5. Fusion Mini is 4.3 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 67.2 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 $4.89 per million input tokens, Fusion Mini 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
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
StableLM 2 Base Stability AI 8192 $1.49 61.9
Fusion Mini OpenRouter 4096 $4.89 63.3
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7

Other benchmarks for Fusion Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 430 28th
GPQA Diamond 59.3 409 32th
SWE-bench Verified 47.5 441 27th
MATH-500 63.4 432 28th
AIME 2025 56.6 406 32th
LiveCodeBench 51.8 431 28th
IFEval 73.4 412 31th
TruthfulQA 70.1 398 34th
HellaSwag 77.5 407 32th
MMMU 63.5 396 34th
Arena Elo 1312.2 403 33th

FAQ

What score does Fusion Mini get on HumanEval?

Fusion Mini scores 67.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Fusion Mini rank on HumanEval?

It ranks #419 of 600 models, in the 30th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Fusion Mini 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 Mini cost?

Fusion Mini costs $4.89 per million input tokens and $22.97 per million output tokens.

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