Reasoning · OpenRouter

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

Fusion Mini scores 59.3 on GPQA Diamond, placing it #409 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
59.3
0–100 scale
Rank
#409
of 600
Percentile
32th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
27.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Fusion Mini 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 Mini sits at #409 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 27.7 points. The median model in this index scores 68.8, which puts Fusion Mini below the midpoint.

OpenRouter models average 63.7 on this benchmark. Fusion Mini is 4.4 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 Mini is 3.6 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 59.3 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Fusion Mini OpenRouter 4096 $4.89 63.3
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
Kimi K2 8B Moonshot AI 8192 $1.86 64.7

Other benchmarks for Fusion Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 430 28th
SWE-bench Verified 47.5 441 27th
HumanEval 67.2 419 30th
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 GPQA Diamond?

Fusion Mini scores 59.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Fusion Mini rank on GPQA Diamond?

It ranks #409 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Fusion Mini 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 Mini cost?

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

Related