Reasoning · EleutherAI

Pythia Base on GPQA Diamond: score, rank and what it means

Pythia Base scores 51.0 on GPQA Diamond, placing it #510 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
51.0
0–100 scale
Rank
#510
of 600
Percentile
15th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
36.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Pythia Base 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, Pythia Base sits at #510 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 36.0 points. The median model in this index scores 68.8, which puts Pythia Base below the midpoint.

EleutherAI models average 47.3 on this benchmark. Pythia Base is 3.7 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 63.6. Pythia Base is 12.6 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 51.0 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 $0.99 per million input tokens, Pythia Base 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
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Llama 3.1 8B Meta AI 8192 $1.15 58.7
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Pythia Base EleutherAI 16384 $0.99 55.9
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0
Mixtral Groq 8B Groq 32768 $0.77 54.8

Other benchmarks for Pythia Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.5 524 13th
SWE-bench Verified 43.3 488 19th
HumanEval 59.6 509 15th
MATH-500 55.7 512 15th
AIME 2025 43.9 510 15th
LiveCodeBench 45.7 492 18th
IFEval 68.7 482 20th
TruthfulQA 62.1 503 16th
HellaSwag 71.9 503 16th
MMMU 52.9 521 13th
Arena Elo 1240.6 512 15th

FAQ

What score does Pythia Base get on GPQA Diamond?

Pythia Base scores 51.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Pythia Base rank on GPQA Diamond?

It ranks #510 of 600 models, in the 15th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Pythia Base good at GPQA Diamond?

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 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 Pythia Base cost?

Pythia Base costs $0.99 per million input tokens and $4.42 per million output tokens.

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