Commonsense · OpenRouter

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

Fusion Nano scores 72.5 on HellaSwag, placing it #486 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
72.5
0–100 scale
Rank
#486
of 600
Percentile
19th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
23.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Fusion Nano 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 Nano sits at #486 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 23.6 points. The median model in this index scores 83.6, which puts Fusion Nano below the midpoint.

OpenRouter models average 80.2 on this benchmark. Fusion Nano is 7.7 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 Nano is 7.3 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 72.5 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 $2.96 per million input tokens, Fusion Nano is below 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
Embed 4 Mini Cohere 4096 $2.48 55.8
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Pythia EleutherAI 32768 $1.29 59.8
Fusion Nano OpenRouter 8192 $2.96 56.8
Pythia Chat EleutherAI 4096 $1.31 59.1
Llama 3.1 8B Meta AI 8192 $1.15 58.7

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
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
MMMU 55.9 490 18th
Arena Elo 1263.0 470 22th

FAQ

What score does Fusion Nano get on HellaSwag?

Fusion Nano scores 72.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Fusion Nano rank on HellaSwag?

It ranks #486 of 600 models, in the 19th percentile. The leader is GPT-5.2 Max at 96.1.

Is Fusion Nano 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 Nano cost?

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

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