Coding · Together AI

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

Mixtral Turbo scores 77.7 on HumanEval, placing it #295 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
77.7
0–100 scale
Rank
#295
of 600
Percentile
51th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
19.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mixtral Turbo highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Mixtral Turbo sits at #295 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.1 points. The median model in this index scores 77.4, which puts Mixtral Turbo above the midpoint.

Together AI models average 68.4 on this benchmark. Mixtral Turbo is 9.3 points above that provider line, so it is a stronger result than the average Together AI model.

Among open-weight models, the average is 72.4. Mixtral Turbo is 5.3 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 77.7 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Phi-4 Instruct Microsoft 128000 $3.79 75.3
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Turbo Together AI 65536 $3.20 72.4
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Gemma 3 Base Google DeepMind 65536 $3.09 71.1

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
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
HellaSwag 82.5 335 44th
MMMU 71.5 258 57th
Arena Elo 1364.3 335 44th

FAQ

What score does Mixtral Turbo get on HumanEval?

Mixtral Turbo scores 77.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mixtral Turbo rank on HumanEval?

It ranks #295 of 600 models, in the 51st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mixtral Turbo good at HumanEval?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the HumanEval score calculated?

HumanEval is a coding 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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