Multimodal · Groq

Mixtral Groq Chat on MMMU: score, rank and what it means

Mixtral Groq Chat scores 67.9 on MMMU, placing it #343 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
67.9
0–100 scale
Rank
#343
of 600
Percentile
43th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
19.0
points

Score distribution

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

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Mixtral Groq Chat sits at #343 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 19.0 points. The median model in this index scores 70.0, which puts Mixtral Groq Chat below the midpoint.

Groq models average 62.8 on this benchmark. Mixtral Groq Chat is 5.1 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 65.1. Mixtral Groq Chat is 2.8 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 67.9 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 MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Codestral Base Mistral AI 8192 $3.31 73.1
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Auto Reasoning OpenRouter 65536 $8.39 71.5
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Mixtral Groq Chat Groq 8192 $3.09 72.0
Mixtral Turbo Base Together AI 32768 $2.53 69.7
Nova Pro Mini Amazon 16384 $7.74 70.6

Other benchmarks for Mixtral Groq Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.5 364 39th
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
Arena Elo 1374.7 296 51th

FAQ

What score does Mixtral Groq Chat get on MMMU?

Mixtral Groq Chat scores 67.9 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Mixtral Groq Chat rank on MMMU?

It ranks #343 of 600 models, in the 43rd percentile. The leader is GPT-5.2 Max at 86.9.

Is Mixtral Groq Chat good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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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