Coding · Groq

Mixtral Groq 7B on HumanEval: score, rank and what it means

Mixtral Groq 7B scores 58.5 on HumanEval, placing it #519 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
58.5
0–100 scale
Rank
#519
of 600
Percentile
14th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
38.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mixtral Groq 7B 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 7B sits at #519 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 38.3 points. The median model in this index scores 77.4, which puts Mixtral Groq 7B below the midpoint.

Groq models average 68.3 on this benchmark. Mixtral Groq 7B is 9.8 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 56.7. Mixtral Groq 7B is 1.8 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 58.5 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 $0.70 per million input tokens, Mixtral Groq 7B 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
Command R+ 7B Cohere 8192 $0.95 56.2
Mixtral 8B Mistral AI 8192 $0.91 55.4
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Mixtral Groq 7B Groq 4096 $0.70 53.4
MiniMax-M2 1.5B MiniMax 16384 $0.84 54.6
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2

Other benchmarks for Mixtral Groq 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 532 11th
GPQA Diamond 47.5 544 9th
SWE-bench Verified 36.6 545 9th
MATH-500 51.1 546 9th
AIME 2025 43.2 520 13th
LiveCodeBench 43.2 515 14th
IFEval 65.7 525 13th
TruthfulQA 60.1 529 12th
HellaSwag 71.8 504 16th
MMMU 50.2 551 8th
Arena Elo 1227.8 529 12th

FAQ

What score does Mixtral Groq 7B get on HumanEval?

Mixtral Groq 7B scores 58.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mixtral Groq 7B rank on HumanEval?

It ranks #519 of 600 models, in the 14th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mixtral Groq 7B 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 Groq 7B cost?

Mixtral Groq 7B costs $0.70 per million input tokens and $2.47 per million output tokens.

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