Multimodal · DeepInfra

Llama 3 DeepInfra 8B on MMMU: score, rank and what it means

Llama 3 DeepInfra 8B scores 54.4 on MMMU, placing it #504 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
54.4
0–100 scale
Rank
#504
of 600
Percentile
16th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
32.5
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 DeepInfra 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, Llama 3 DeepInfra 8B sits at #504 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 32.5 points. The median model in this index scores 70.0, which puts Llama 3 DeepInfra 8B below the midpoint.

DeepInfra models average 63.1 on this benchmark. Llama 3 DeepInfra 8B is 8.7 points below that provider line, so it is a weaker result than the average DeepInfra model.

Among small open-weight models, the average is 52.4. Llama 3 DeepInfra 8B is 2.0 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 54.4 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 $1.05 per million input tokens, Llama 3 DeepInfra 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
Firesearch Nano Fireworks AI 8192 $2.49 55.6
MiniMax-M2 1.5B MiniMax 16384 $0.84 54.6
Mixtral 7B Mistral AI 16384 $0.70 54.1
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Zephyr Base Hugging Face 4096 $1.26 59.5

Other benchmarks for Llama 3 DeepInfra 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.0 454 24th
GPQA Diamond 52.7 491 18th
SWE-bench Verified 42.9 491 18th
HumanEval 60.2 501 17th
MATH-500 57.4 495 18th
AIME 2025 46.5 482 20th
LiveCodeBench 47.4 471 22th
IFEval 69.7 466 22th
TruthfulQA 63.5 482 20th
HellaSwag 72.0 497 17th
Arena Elo 1242.0 506 16th

FAQ

What score does Llama 3 DeepInfra 8B get on MMMU?

Llama 3 DeepInfra 8B scores 54.4 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 DeepInfra 8B rank on MMMU?

It ranks #504 of 600 models, in the 16th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 DeepInfra 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 Llama 3 DeepInfra 8B cost?

Llama 3 DeepInfra 8B costs $1.05 per million input tokens and $3.99 per million output tokens.

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