Coding · Groq

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

Mixtral Groq Base scores 71.8 on HumanEval, placing it #381 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
71.8
0–100 scale
Rank
#381
of 600
Percentile
37th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
25.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mixtral Groq Base 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 Base sits at #381 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 25.0 points. The median model in this index scores 77.4, which puts Mixtral Groq Base below the midpoint.

Groq models average 68.3 on this benchmark. Mixtral Groq Base is 3.5 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 Base is 0.6 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 71.8 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 $2.66 per million input tokens, Mixtral Groq Base 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
o3 Nano OpenAI 32768 $7.78 70.6
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Firesearch Reasoning Fireworks AI 32768 $7.74 69.0
Mixtral Groq Base Groq 32768 $2.66 68.4
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Arctic Base Snowflake 32768 $2.27 67.5

Other benchmarks for Mixtral Groq Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.0 389 35th
GPQA Diamond 64.4 374 38th
SWE-bench Verified 54.9 386 36th
MATH-500 70.9 381 37th
AIME 2025 64.5 349 42th
LiveCodeBench 58.8 380 37th
IFEval 76.3 385 36th
TruthfulQA 74.9 332 45th
HellaSwag 81.1 368 39th
MMMU 64.0 390 35th
Arena Elo 1335.6 381 37th

FAQ

What score does Mixtral Groq Base get on HumanEval?

Mixtral Groq Base scores 71.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mixtral Groq Base rank on HumanEval?

It ranks #381 of 600 models, in the 37th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mixtral Groq Base 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 Base cost?

Mixtral Groq Base costs $2.66 per million input tokens and $11.35 per million output tokens.

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