Knowledge · Lambda

Llama 3 Lambda on MMLU-Pro: score, rank and what it means

Llama 3 Lambda scores 78.6 on MMLU-Pro, placing it #225 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
78.6
0–100 scale
Rank
#225
of 600
Percentile
63th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
13.0
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Llama 3 Lambda highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Llama 3 Lambda sits at #225 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 13.0 points. The median model in this index scores 76.1, which puts Llama 3 Lambda above the midpoint.

Lambda models average 71.1 on this benchmark. Llama 3 Lambda is 7.5 points above that provider line, so it is a stronger result than the average Lambda model.

Among multimodal models, the average is 80.0. Llama 3 Lambda is 1.4 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 78.6 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 $3.90 per million input tokens, Llama 3 Lambda is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Flash Reka AI 128000 $9.95 74.1
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Sonar Pro Perplexity 128000 $13.01 79.1
Llama 3 Lambda Lambda 65536 $3.90 75.6
Seed-OSS Instruct ByteDance 128000 $3.79 76.0
Yi-Lightning Base 01.AI 16384 $3.31 72.7

Other benchmarks for Llama 3 Lambda

BenchmarkScoreRankPercentileRelative
GPQA Diamond 71.7 227 62th
SWE-bench Verified 62.8 258 57th
HumanEval 81.4 202 66th
MATH-500 79.8 214 64th
AIME 2025 69.9 258 57th
LiveCodeBench 70.1 190 68th
IFEval 81.6 284 53th
TruthfulQA 78.3 245 59th
HellaSwag 83.7 292 51th
MMMU 74.1 186 69th
Arena Elo 1390.8 247 59th

FAQ

What score does Llama 3 Lambda get on MMLU-Pro?

Llama 3 Lambda scores 78.6 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Llama 3 Lambda rank on MMLU-Pro?

It ranks #225 of 600 models, in the 63rd percentile. The leader is GPT-5.2 Pro at 91.6.

Is Llama 3 Lambda good at MMLU-Pro?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 cost?

Llama 3 Lambda costs $3.90 per million input tokens and $15.06 per million output tokens.

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