Mathematics · Anyscale

Llama 3 Anyscale 8B on MATH-500: score, rank and what it means

Llama 3 Anyscale 8B scores 60.2 on MATH-500, placing it #459 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
60.2
0–100 scale
Rank
#459
of 600
Percentile
24th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
36.5
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 Anyscale 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

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-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Llama 3 Anyscale 8B sits at #459 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 36.5 points. The median model in this index scores 76.0, which puts Llama 3 Anyscale 8B below the midpoint.

Anyscale models average 68.2 on this benchmark. Llama 3 Anyscale 8B is 8.0 points below that provider line, so it is a weaker result than the average Anyscale model.

Among small open-weight models, the average is 53.7. Llama 3 Anyscale 8B is 6.5 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 60.2 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 MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
Llama 3.1 Cerebras 8B Cerebras 32768 $1.02 58.2
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
GPT-NeoX Base EleutherAI 16384 $1.22 59.7

Other benchmarks for Llama 3 Anyscale 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.8 515 14th
GPQA Diamond 53.8 484 19th
SWE-bench Verified 42.2 500 17th
HumanEval 59.3 511 15th
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 MATH-500?

Llama 3 Anyscale 8B scores 60.2 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Llama 3 Anyscale 8B rank on MATH-500?

It ranks #459 of 600 models, in the 24th percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 Anyscale 8B good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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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