Multimodal · Snowflake

Arctic Chat on MMMU: score, rank and what it means

Arctic Chat scores 66.1 on MMMU, placing it #369 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
66.1
0–100 scale
Rank
#369
of 600
Percentile
39th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
20.8
points

Score distribution

The chart shows the top 10 models on MMMU, with Arctic 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, Arctic Chat sits at #369 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 20.8 points. The median model in this index scores 70.0, which puts Arctic Chat below the midpoint.

Snowflake models average 56.8 on this benchmark. Arctic Chat is 9.3 points above that provider line, so it is a stronger result than the average Snowflake model.

Among open-weight models, the average is 65.1. Arctic Chat is 1.0 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 66.1 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 $2.70 per million input tokens, Arctic 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
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Auto Pro OpenRouter 8192 $8.41 71.2
Auto Max OpenRouter 8192 $8.41 71.2
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
Arctic Chat Snowflake 16384 $2.70 69.8
Embed 4 Max Cohere 8192 $5.68 66.1
Firefunction Turbo Fireworks AI 32768 $8.44 70.7

Other benchmarks for Arctic Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.6 361 40th
GPQA Diamond 65.6 349 42th
SWE-bench Verified 57.6 361 40th
HumanEval 75.0 344 43th
MATH-500 71.4 374 38th
AIME 2025 66.0 330 45th
LiveCodeBench 61.6 355 41th
IFEval 77.6 370 38th
TruthfulQA 73.9 355 41th
HellaSwag 79.7 383 36th
Arena Elo 1342.4 377 37th

FAQ

What score does Arctic Chat get on MMMU?

Arctic Chat scores 66.1 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Arctic Chat rank on MMMU?

It ranks #369 of 600 models, in the 39th percentile. The leader is GPT-5.2 Max at 86.9.

Is Arctic 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 Arctic Chat cost?

Arctic Chat costs $2.70 per million input tokens and $11.83 per million output tokens.

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