Commonsense · OpenRouter

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

Fusion Mini scores 77.5 on HellaSwag, placing it #407 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
77.5
0–100 scale
Rank
#407
of 600
Percentile
32th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
18.6
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Fusion Mini sits at #407 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 18.6 points. The median model in this index scores 83.6, which puts Fusion Mini below the midpoint.

OpenRouter models average 80.2 on this benchmark. Fusion Mini is 2.7 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 79.8. Fusion Mini is 2.3 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 77.5 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
Reka Flash Mini Reka AI 16384 $5.77 65.5
SmolLM3 Hugging Face 8192 $1.71 63.1
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Fusion Mini OpenRouter 4096 $4.89 63.3
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2

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
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
MMMU 63.5 396 34th
Arena Elo 1312.2 403 33th

FAQ

What score does Fusion Mini get on HellaSwag?

Fusion Mini scores 77.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Fusion Mini rank on HellaSwag?

It ranks #407 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Fusion Mini good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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