Knowledge · Groq

Mixtral Groq Chat on MMLU-Pro: score, rank and what it means

Mixtral Groq Chat scores 73.5 on MMLU-Pro, placing it #364 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
73.5
0–100 scale
Rank
#364
of 600
Percentile
39th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
18.1
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Mixtral Groq Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Mixtral Groq Chat sits at #364 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 18.1 points. The median model in this index scores 76.1, which puts Mixtral Groq Chat below the midpoint.

Groq models average 68.9 on this benchmark. Mixtral Groq Chat is 4.6 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 72.1. Mixtral Groq Chat is 1.4 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 73.5 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 $3.09 per million input tokens, Mixtral Groq Chat is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Arctic Chat Snowflake 16384 $2.70 69.8
Auto OpenRouter 32768 $7.53 70.2
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Mixtral Groq Chat Groq 8192 $3.09 72.0
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1

Other benchmarks for Mixtral Groq Chat

BenchmarkScoreRankPercentileRelative
GPQA Diamond 66.7 335 44th
SWE-bench Verified 60.4 319 47th
HumanEval 75.5 335 44th
MATH-500 74.7 334 44th
AIME 2025 69.4 269 55th
LiveCodeBench 64.7 302 50th
IFEval 80.4 324 46th
TruthfulQA 77.3 273 55th
HellaSwag 81.0 372 38th
MMMU 67.9 343 43th
Arena Elo 1374.7 296 51th

FAQ

What score does Mixtral Groq Chat get on MMLU-Pro?

Mixtral Groq Chat scores 73.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Mixtral Groq Chat rank on MMLU-Pro?

It ranks #364 of 600 models, in the 39th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Mixtral Groq Chat good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 Chat cost?

Mixtral Groq Chat costs $3.09 per million input tokens and $10.83 per million output tokens.

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