Knowledge · Anyscale

Llama 3 Anyscale 8B on MMLU-Pro: score, rank and what it means

Llama 3 Anyscale 8B scores 60.8 on MMLU-Pro, placing it #515 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
60.8
0–100 scale
Rank
#515
of 600
Percentile
14th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
30.8
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Llama 3 Anyscale 8B 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 Anyscale 8B sits at #515 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 30.8 points. The median model in this index scores 76.1, which puts Llama 3 Anyscale 8B below the midpoint.

Anyscale models average 69.4 on this benchmark. Llama 3 Anyscale 8B is 8.6 points below that provider line, so it is a weaker result than the average Anyscale model.

Among small open-weight models, the average is 59.8. Llama 3 Anyscale 8B 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 60.8 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 $0.97 per million input tokens, Llama 3 Anyscale 8B 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
DBRX 8B Databricks 4096 $0.82 54.1
Seed-OSS 7B ByteDance 8192 $0.85 55.5
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
Gemma 3 7B Google DeepMind 32768 $0.90 55.9
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
DBRX 7B Databricks 8192 $0.65 51.9

Other benchmarks for Llama 3 Anyscale 8B

BenchmarkScoreRankPercentileRelative
GPQA Diamond 53.8 484 19th
SWE-bench Verified 42.2 500 17th
HumanEval 59.3 511 15th
MATH-500 60.2 459 24th
AIME 2025 46.9 478 20th
LiveCodeBench 46.2 484 19th
IFEval 68.6 483 20th
TruthfulQA 62.2 500 17th
HellaSwag 73.5 466 22th
MMMU 56.8 475 21th
Arena Elo 1251.4 489 19th

FAQ

What score does Llama 3 Anyscale 8B get on MMLU-Pro?

Llama 3 Anyscale 8B scores 60.8 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Llama 3 Anyscale 8B rank on MMLU-Pro?

It ranks #515 of 600 models, in the 14th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Llama 3 Anyscale 8B good at MMLU-Pro?

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 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 Anyscale 8B cost?

Llama 3 Anyscale 8B costs $0.97 per million input tokens and $4.27 per million output tokens.

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