Commonsense · OpenRouter

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

Fusion Turbo scores 82.4 on HellaSwag, placing it #339 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
82.4
0–100 scale
Rank
#339
of 600
Percentile
44th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
13.7
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Fusion Turbo 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 Turbo sits at #339 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 13.7 points. The median model in this index scores 83.6, which puts Fusion Turbo below the midpoint.

OpenRouter models average 80.2 on this benchmark. Fusion Turbo is 2.2 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 Turbo is 2.6 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 82.4 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 $8.55 per million input tokens, Fusion Turbo 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
Mixtral Turbo Together AI 65536 $3.20 72.4
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Firesearch Fireworks AI 32768 $7.03 68.5
Fusion Turbo OpenRouter 8192 $8.55 71.7
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Llama 3 Novita Base Novita AI 8192 $3.06 70.3

Other benchmarks for Fusion Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.0 307 49th
GPQA Diamond 67.3 324 46th
SWE-bench Verified 58.3 349 42th
HumanEval 76.2 324 46th
MATH-500 77.8 261 57th
AIME 2025 64.0 355 41th
LiveCodeBench 60.4 362 40th
IFEval 80.5 320 47th
TruthfulQA 74.5 340 43th
MMMU 71.1 270 55th
Arena Elo 1368.7 323 46th

FAQ

What score does Fusion Turbo get on HellaSwag?

Fusion Turbo scores 82.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Fusion Turbo rank on HellaSwag?

It ranks #339 of 600 models, in the 44th percentile. The leader is GPT-5.2 Max at 96.1.

Is Fusion Turbo 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 Turbo cost?

Fusion Turbo costs $8.55 per million input tokens and $40.27 per million output tokens.

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