Preference · EleutherAI

Pythia on Arena Elo: score, rank and what it means

Pythia scores 1259.9 on Arena Elo, placing it #476 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1259.9
0–100 scale
Rank
#476
of 600
Percentile
21th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
242.0
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Pythia highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Pythia sits at #476 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 242.0 points. The median model in this index scores 1373.8, which puts Pythia below the midpoint.

EleutherAI models average 1208.8 on this benchmark. Pythia is 51.1 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 1338.0. Pythia is 78.1 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 1259.9 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 $1.29 per million input tokens, Pythia is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
DeepSeek-Coder 8B DeepSeek 32768 $1.26 58.7
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Pythia EleutherAI 32768 $1.29 59.8
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
Yi-Lightning 8B 01.AI 4096 $1.16 59.2

Other benchmarks for Pythia

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.1 487 19th
GPQA Diamond 55.6 455 24th
SWE-bench Verified 44.8 467 22th
HumanEval 62.8 460 23th
MATH-500 63.6 428 29th
AIME 2025 50.0 460 23th
LiveCodeBench 52.2 427 29th
IFEval 70.4 454 24th
TruthfulQA 67.2 426 29th
HellaSwag 72.8 485 19th
MMMU 55.0 497 17th

FAQ

What score does Pythia get on Arena Elo?

Pythia scores 1259.9 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Pythia rank on Arena Elo?

It ranks #476 of 600 models, in the 21st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Pythia good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 cost?

Pythia costs $1.29 per million input tokens and $5.47 per million output tokens.

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