Reasoning · Anyscale

Llama 3 Anyscale on GPQA Diamond: score, rank and what it means

Llama 3 Anyscale scores 70.6 on GPQA Diamond, placing it #245 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.6
0–100 scale
Rank
#245
of 600
Percentile
59th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
16.4
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3 Anyscale highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Llama 3 Anyscale sits at #245 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 16.4 points. The median model in this index scores 68.8, which puts Llama 3 Anyscale above the midpoint.

Anyscale models average 61.3 on this benchmark. Llama 3 Anyscale is 9.3 points above that provider line, so it is a stronger result than the average Anyscale model.

Among multimodal models, the average is 73.5. Llama 3 Anyscale is 2.9 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 70.6 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 $3.94 per million input tokens, Llama 3 Anyscale is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten Baseten 128000 $3.62 74.9
Yi-Large 01.AI 32768 $3.40 73.5
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Mixtral Chat Mistral AI 65536 $3.30 72.6

Other benchmarks for Llama 3 Anyscale

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 257 57th
SWE-bench Verified 63.0 252 58th
HumanEval 79.8 238 60th
MATH-500 78.8 241 60th
AIME 2025 68.7 284 53th
LiveCodeBench 64.7 301 50th
IFEval 84.9 195 68th
TruthfulQA 77.3 272 55th
HellaSwag 85.9 218 64th
MMMU 70.8 278 54th
Arena Elo 1397.8 213 65th

FAQ

What score does Llama 3 Anyscale get on GPQA Diamond?

Llama 3 Anyscale scores 70.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3 Anyscale rank on GPQA Diamond?

It ranks #245 of 600 models, in the 59th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3 Anyscale good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 cost?

Llama 3 Anyscale costs $3.94 per million input tokens and $19.76 per million output tokens.

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