Coding · Groq

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

Mixtral Groq scores 78.7 on HumanEval, placing it #271 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
78.7
0–100 scale
Rank
#271
of 600
Percentile
55th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
18.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mixtral Groq 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 Groq sits at #271 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 18.1 points. The median model in this index scores 77.4, which puts Mixtral Groq above the midpoint.

Groq models average 68.3 on this benchmark. Mixtral Groq is 10.4 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 72.4. Mixtral Groq is 6.3 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 78.7 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 $3.37 per million input tokens, Mixtral Groq 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
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Llama 3 Modal Base Modal 16384 $3.21 72.2
Llama 3 Modal Modal 32768 $3.82 74.9
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Mixtral Groq Groq 16384 $3.37 73.1
Sonar Turbo Perplexity 65536 $10.71 75.7
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2

Other benchmarks for Mixtral Groq

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.1 331 45th
GPQA Diamond 66.1 343 43th
SWE-bench Verified 62.0 281 53th
MATH-500 74.9 329 45th
AIME 2025 67.5 303 50th
LiveCodeBench 64.1 314 48th
IFEval 81.2 300 50th
TruthfulQA 78.6 235 61th
HellaSwag 85.0 247 59th
MMMU 70.7 280 53th
Arena Elo 1388.6 254 58th

FAQ

What score does Mixtral Groq get on HumanEval?

Mixtral Groq scores 78.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mixtral Groq rank on HumanEval?

It ranks #271 of 600 models, in the 55th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mixtral Groq 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 Groq cost?

Mixtral Groq costs $3.37 per million input tokens and $15.23 per million output tokens.

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