Reasoning · EleutherAI

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

Pythia Instruct scores 58.3 on GPQA Diamond, placing it #424 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
58.3
0–100 scale
Rank
#424
of 600
Percentile
29th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
28.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Pythia 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, Pythia Instruct sits at #424 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 28.7 points. The median model in this index scores 68.8, which puts Pythia Instruct below the midpoint.

EleutherAI models average 47.3 on this benchmark. Pythia Instruct is 11.0 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 Instruct is 5.3 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 58.3 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 $1.41 per million input tokens, Pythia 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
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
StableLM 2 Base Stability AI 8192 $1.49 61.9
Embed 4 Turbo Cohere 4096 $5.13 64.0
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
Pythia Instruct EleutherAI 8192 $1.41 60.8
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3

Other benchmarks for Pythia Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.3 448 25th
SWE-bench Verified 47.1 445 26th
HumanEval 66.3 427 29th
MATH-500 63.5 429 29th
AIME 2025 52.3 443 26th
LiveCodeBench 46.8 480 20th
IFEval 72.4 428 29th
TruthfulQA 66.7 435 28th
HellaSwag 73.8 459 24th
MMMU 56.2 485 19th
Arena Elo 1291.1 430 28th

FAQ

What score does Pythia Instruct get on GPQA Diamond?

Pythia Instruct scores 58.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Pythia Instruct rank on GPQA Diamond?

It ranks #424 of 600 models, in the 29th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Pythia Instruct 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 Instruct cost?

Pythia Instruct costs $1.41 per million input tokens and $5.70 per million output tokens.

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