Coding · OpenRouter

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

Fusion Nano scores 61.0 on HumanEval, placing it #488 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
61.0
0–100 scale
Rank
#488
of 600
Percentile
19th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
35.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Fusion Nano 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 Nano sits at #488 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 35.8 points. The median model in this index scores 77.4, which puts Fusion Nano below the midpoint.

OpenRouter models average 73.0 on this benchmark. Fusion Nano is 12.0 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 Nano is 10.5 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 61.0 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 $2.96 per million input tokens, Fusion Nano is below 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 4 8B NVIDIA 4096 $1.06 57.9
Llama 3.3 Groq 7B Groq 16384 $1.01 56.7
Magistral 7B Mistral AI 32768 $1.22 58.9
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Fusion Nano OpenRouter 8192 $2.96 56.8
Llama 3 Lambda 7B Lambda 8192 $0.84 55.4
Llama 3.3 7B Meta AI 8192 $1.18 57.8

Other benchmarks for Fusion Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.5 461 23th
GPQA Diamond 50.7 515 14th
SWE-bench Verified 41.8 501 17th
MATH-500 59.7 468 22th
AIME 2025 45.4 495 18th
LiveCodeBench 42.8 518 14th
IFEval 66.5 510 15th
TruthfulQA 63.8 472 21th
HellaSwag 72.5 486 19th
MMMU 55.9 490 18th
Arena Elo 1263.0 470 22th

FAQ

What score does Fusion Nano get on HumanEval?

Fusion Nano scores 61.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Fusion Nano rank on HumanEval?

It ranks #488 of 600 models, in the 19th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Fusion Nano 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 Nano cost?

Fusion Nano costs $2.96 per million input tokens and $14.36 per million output tokens.

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