Coding · Together AI

Mixtral Turbo 8B on HumanEval: score, rank and what it means

Mixtral Turbo 8B scores 57.5 on HumanEval, placing it #528 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
57.5
0–100 scale
Rank
#528
of 600
Percentile
12th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
39.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mixtral Turbo 8B 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 8B sits at #528 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 39.3 points. The median model in this index scores 77.4, which puts Mixtral Turbo 8B below the midpoint.

Together AI models average 68.4 on this benchmark. Mixtral Turbo 8B is 10.9 points below that provider line, so it is a weaker result than the average Together AI model.

Among small open-weight models, the average is 56.7. Mixtral Turbo 8B is 0.8 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 57.5 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 $0.75 per million input tokens, Mixtral Turbo 8B 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
Magistral 1.5B Mistral AI 4096 $0.67 52.7
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
Llama 3.3 1.5B Meta AI 4096 $0.61 52.2
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6

Other benchmarks for Mixtral Turbo 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.7 542 10th
GPQA Diamond 51.3 506 16th
SWE-bench Verified 41.3 509 15th
MATH-500 52.5 536 11th
AIME 2025 42.8 526 12th
LiveCodeBench 39.2 542 10th
IFEval 66.6 507 16th
TruthfulQA 61.2 518 14th
HellaSwag 70.0 533 11th
MMMU 53.5 514 14th
Arena Elo 1231.1 525 13th

FAQ

What score does Mixtral Turbo 8B get on HumanEval?

Mixtral Turbo 8B scores 57.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mixtral Turbo 8B rank on HumanEval?

It ranks #528 of 600 models, in the 12th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mixtral Turbo 8B good at HumanEval?

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 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 8B cost?

Mixtral Turbo 8B costs $0.75 per million input tokens and $3.51 per million output tokens.

Related