Multimodal · Snowflake

Arctic 8B on MMMU: score, rank and what it means

Arctic 8B scores 52.1 on MMMU, placing it #526 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
52.1
0–100 scale
Rank
#526
of 600
Percentile
12th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
34.8
points

Score distribution

The chart shows the top 10 models on MMMU, with Arctic 8B 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 8B sits at #526 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 34.8 points. The median model in this index scores 70.0, which puts Arctic 8B below the midpoint.

Snowflake models average 56.8 on this benchmark. Arctic 8B is 4.7 points below that provider line, so it is a weaker result than the average Snowflake model.

Among small open-weight models, the average is 52.4. Arctic 8B is 0.3 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 52.1 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 $0.65 per million input tokens, Arctic 8B 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
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3
Magistral 1.5B Mistral AI 4096 $0.67 52.7
Phi-4 8B Microsoft 32768 $0.96 54.9
Llama 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5

Other benchmarks for Arctic 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.3 548 9th
GPQA Diamond 47.9 539 10th
SWE-bench Verified 36.8 543 10th
HumanEval 55.8 537 11th
MATH-500 52.8 535 11th
AIME 2025 39.7 542 10th
LiveCodeBench 39.7 539 10th
IFEval 64.4 537 11th
TruthfulQA 59.0 541 10th
HellaSwag 69.4 542 10th
Arena Elo 1224.0 532 11th

FAQ

What score does Arctic 8B get on MMMU?

Arctic 8B scores 52.1 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Arctic 8B rank on MMMU?

It ranks #526 of 600 models, in the 12th percentile. The leader is GPT-5.2 Max at 86.9.

Is Arctic 8B 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 8B cost?

Arctic 8B costs $0.65 per million input tokens and $2.31 per million output tokens.

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