Multimodal · Lambda

Llama 3 Lambda Instruct on MMMU: score, rank and what it means

Llama 3 Lambda Instruct scores 70.0 on MMMU, placing it #303 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
70.0
0–100 scale
Rank
#303
of 600
Percentile
50th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
16.9
points

Score distribution

The chart shows the top 10 models on MMMU, with Llama 3 Lambda Instruct 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 Lambda Instruct sits at #303 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 16.9 points. The median model in this index scores 70.0, which puts Llama 3 Lambda Instruct below the midpoint.

Lambda models average 63.0 on this benchmark. Llama 3 Lambda Instruct is 7.0 points above that provider line, so it is a stronger result than the average Lambda model.

Among multimodal models, the average is 74.3. Llama 3 Lambda Instruct is 4.3 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 70.0 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 $3.92 per million input tokens, Llama 3 Lambda Instruct 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
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Sonar Perplexity 200000 $10.57 76.0
Auto Turbo OpenRouter 65536 $7.96 70.9
Codestral Instruct Mistral AI 65536 $4.01 75.1
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5

Other benchmarks for Llama 3 Lambda Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.8 154 74th
GPQA Diamond 69.1 293 51th
SWE-bench Verified 64.3 226 62th
HumanEval 78.6 274 54th
MATH-500 78.6 247 59th
AIME 2025 74.8 158 74th
LiveCodeBench 70.5 181 70th
IFEval 84.2 211 65th
TruthfulQA 76.0 305 49th
HellaSwag 87.0 178 70th
Arena Elo 1382.5 268 55th

FAQ

What score does Llama 3 Lambda Instruct get on MMMU?

Llama 3 Lambda Instruct scores 70.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Llama 3 Lambda Instruct rank on MMMU?

It ranks #303 of 600 models, in the 50th percentile. The leader is GPT-5.2 Max at 86.9.

Is Llama 3 Lambda Instruct 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 Lambda Instruct cost?

Llama 3 Lambda Instruct costs $3.92 per million input tokens and $19.48 per million output tokens.

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