Reasoning · OpenRouter

Fusion Nano on GPQA Diamond: score, rank and what it means

Fusion Nano scores 50.7 on GPQA Diamond, placing it #515 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
50.7
0–100 scale
Rank
#515
of 600
Percentile
14th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
36.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Fusion Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Fusion Nano sits at #515 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 36.3 points. The median model in this index scores 68.8, which puts Fusion Nano below the midpoint.

OpenRouter models average 63.7 on this benchmark. Fusion Nano is 13.0 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 62.9. Fusion Nano is 12.2 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 50.7 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 $2.96 per million input tokens, Fusion Nano is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0
Mixtral Groq 8B Groq 32768 $0.77 54.8
Mixtral 7B Mistral AI 16384 $0.70 54.1
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Fusion Nano OpenRouter 8192 $2.96 56.8
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Yi-Lightning 7B 01.AI 32768 $1.00 55.9

Other benchmarks for Fusion Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.5 461 23th
SWE-bench Verified 41.8 501 17th
HumanEval 61.0 488 19th
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 GPQA Diamond?

Fusion Nano scores 50.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Fusion Nano rank on GPQA Diamond?

It ranks #515 of 600 models, in the 14th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Fusion Nano good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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.

Related