Mathematics · EleutherAI

Pythia 7B on AIME 2025: score, rank and what it means

Pythia 7B scores 24.1 on AIME 2025, placing it #596 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
24.1
0–100 scale
Rank
#596
of 600
Percentile
1th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
67.3
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Pythia 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Pythia 7B sits at #596 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 67.3 points. The median model in this index scores 67.6, which puts Pythia 7B below the midpoint.

EleutherAI models average 39.0 on this benchmark. Pythia 7B is 14.9 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 41.6. Pythia 7B is 17.5 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 24.1 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 $0.10 per million input tokens, Pythia 7B is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Zephyr 7B Hugging Face 32768 $0.23 42.5
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
StableLM 2 1.5B Stability AI 16384 $0.13 38.3
Pythia 7B EleutherAI 8192 $0.10 40.7
SmolLM3 1.5B Hugging Face 8192 $0.04 36.8
GPT-NeoX 1.5B EleutherAI 32768 $0.06 36.4

Other benchmarks for Pythia 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.4 592 1th
GPQA Diamond 35.1 596 1th
SWE-bench Verified 26.8 589 2th
HumanEval 42.9 593 1th
MATH-500 42.3 589 2th
LiveCodeBench 25.9 591 2th
IFEval 52.4 595 1th
TruthfulQA 47.1 597 1th
HellaSwag 61.7 593 1th
MMMU 38.7 597 1th
Arena Elo 1137.4 588 2th

FAQ

What score does Pythia 7B get on AIME 2025?

Pythia 7B scores 24.1 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Pythia 7B rank on AIME 2025?

It ranks #596 of 600 models, in the 1st percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Pythia 7B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 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 Pythia 7B cost?

Pythia 7B costs $0.10 per million input tokens and $0.36 per million output tokens.

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