Commonsense · Together AI

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

Mixtral Turbo scores 82.5 on HellaSwag, placing it #335 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
82.5
0–100 scale
Rank
#335
of 600
Percentile
44th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
13.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Mixtral 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, Mixtral Turbo sits at #335 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 13.6 points. The median model in this index scores 83.6, which puts Mixtral Turbo below the midpoint.

Together AI models average 78.2 on this benchmark. Mixtral Turbo is 4.3 points above that provider line, so it is a stronger result than the average Together AI model.

Among open-weight models, the average is 80.2. Mixtral Turbo is 2.3 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 82.5 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 $3.20 per million input tokens, Mixtral Turbo 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
Fusion Max OpenRouter 65536 $9.14 72.5
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
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

Other benchmarks for Mixtral Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.6 256 57th
GPQA Diamond 69.5 279 54th
SWE-bench Verified 57.8 360 40th
HumanEval 77.7 295 51th
MATH-500 75.4 315 48th
AIME 2025 67.9 297 51th
LiveCodeBench 63.6 330 45th
IFEval 78.7 360 40th
TruthfulQA 74.0 351 42th
MMMU 71.5 258 57th
Arena Elo 1364.3 335 44th

FAQ

What score does Mixtral Turbo get on HellaSwag?

Mixtral Turbo scores 82.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Mixtral Turbo rank on HellaSwag?

It ranks #335 of 600 models, in the 44th percentile. The leader is GPT-5.2 Max at 96.1.

Is Mixtral 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 Mixtral Turbo cost?

Mixtral Turbo costs $3.20 per million input tokens and $13.66 per million output tokens.

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