Reasoning · Baseten

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

Llama 3 Baseten Instruct scores 73.9 on GPQA Diamond, placing it #171 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.9
0–100 scale
Rank
#171
of 600
Percentile
72th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3 Baseten Instruct 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 Baseten Instruct sits at #171 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.1 points. The median model in this index scores 68.8, which puts Llama 3 Baseten Instruct above the midpoint.

Baseten models average 61.5 on this benchmark. Llama 3 Baseten Instruct is 12.4 points above that provider line, so it is a stronger result than the average Baseten model.

Among multimodal models, the average is 73.5. Llama 3 Baseten Instruct is 0.4 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 73.9 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 $3.91 per million input tokens, Llama 3 Baseten Instruct 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
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
DeepSeek-Coder Chat DeepSeek 200000 $4.20 77.3
Llama 3.3 Groq Instruct Groq 65536 $4.08 76.7
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Nova Pro Amazon 32768 $12.75 79.4
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1

Other benchmarks for Llama 3 Baseten Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.0 182 70th
SWE-bench Verified 62.8 257 57th
HumanEval 78.6 273 55th
MATH-500 77.4 269 55th
AIME 2025 74.7 159 74th
LiveCodeBench 70.1 189 69th
IFEval 83.1 241 60th
TruthfulQA 79.3 205 66th
HellaSwag 86.8 184 69th
MMMU 72.0 244 59th
Arena Elo 1397.8 214 64th

FAQ

What score does Llama 3 Baseten Instruct get on GPQA Diamond?

Llama 3 Baseten Instruct scores 73.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3 Baseten Instruct rank on GPQA Diamond?

It ranks #171 of 600 models, in the 72nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3 Baseten Instruct 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 Baseten Instruct cost?

Llama 3 Baseten Instruct costs $3.91 per million input tokens and $20.18 per million output tokens.

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