Commonsense · OpenRouter

Fusion on HellaSwag: score, rank and what it means

Fusion scores 81.1 on HellaSwag, placing it #367 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
81.1
0–100 scale
Rank
#367
of 600
Percentile
39th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
15.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Fusion 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 sits at #367 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 15.0 points. The median model in this index scores 83.6, which puts Fusion below the midpoint.

OpenRouter models average 80.2 on this benchmark. Fusion is 0.9 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 79.8. Fusion is 1.3 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 81.1 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 $8.41 per million input tokens, Fusion 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
o4 Nano OpenAI 65536 $8.61 72.0
Auto OpenRouter 32768 $7.53 70.2
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Firesearch Max Fireworks AI 8192 $7.80 69.9
Fusion OpenRouter 16384 $8.41 71.1
Mixtral Groq Base Groq 32768 $2.66 68.4
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6

Other benchmarks for Fusion

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.9 336 44th
GPQA Diamond 64.4 373 38th
SWE-bench Verified 59.0 341 43th
HumanEval 74.4 352 41th
MATH-500 74.0 346 42th
AIME 2025 65.9 332 45th
LiveCodeBench 64.3 309 49th
IFEval 81.1 307 49th
TruthfulQA 75.0 331 45th
MMMU 68.5 334 44th
Arena Elo 1349.4 365 39th

FAQ

What score does Fusion get on HellaSwag?

Fusion scores 81.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Fusion rank on HellaSwag?

It ranks #367 of 600 models, in the 39th percentile. The leader is GPT-5.2 Max at 96.1.

Is Fusion 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 cost?

Fusion costs $8.41 per million input tokens and $30.46 per million output tokens.

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