Coding · Together AI

Mixtral Turbo 1.5B on HumanEval: score, rank and what it means

Mixtral Turbo 1.5B scores 51.5 on HumanEval, placing it #561 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
51.5
0–100 scale
Rank
#561
of 600
Percentile
7th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
45.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mixtral Turbo 1.5B 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 1.5B sits at #561 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 45.3 points. The median model in this index scores 77.4, which puts Mixtral Turbo 1.5B below the midpoint.

Together AI models average 68.4 on this benchmark. Mixtral Turbo 1.5B is 16.9 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 1.5B is 5.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 51.5 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 $0.31 per million input tokens, Mixtral Turbo 1.5B 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 3.1 Cerebras 1.5B Cerebras 4096 $0.48 50.2
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3
Llama 3.1 1.5B Meta AI 4096 $0.53 50.7
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Arctic 7B Snowflake 8192 $0.49 50.3

Other benchmarks for Mixtral Turbo 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 55.1 572 5th
GPQA Diamond 45.3 565 6th
SWE-bench Verified 30.5 581 3th
MATH-500 44.2 581 3th
AIME 2025 34.0 573 5th
LiveCodeBench 34.9 571 5th
IFEval 58.5 581 3th
TruthfulQA 54.1 578 4th
HellaSwag 67.0 563 6th
MMMU 48.5 559 7th
Arena Elo 1178.9 577 4th

FAQ

What score does Mixtral Turbo 1.5B get on HumanEval?

Mixtral Turbo 1.5B scores 51.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mixtral Turbo 1.5B rank on HumanEval?

It ranks #561 of 600 models, in the 7th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mixtral Turbo 1.5B 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 1.5B cost?

Mixtral Turbo 1.5B costs $0.31 per million input tokens and $1.19 per million output tokens.

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