Preference · EleutherAI

Pythia 7B on Arena Elo: score, rank and what it means

Pythia 7B scores 1137.4 on Arena Elo, placing it #588 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
1137.4
0–100 scale
Rank
#588
of 600
Percentile
2th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
364.5
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Pythia 7B 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 7B sits at #588 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 364.5 points. The median model in this index scores 1373.8, which puts Pythia 7B below the midpoint.

EleutherAI models average 1208.8 on this benchmark. Pythia 7B is 71.4 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 1224.7. Pythia 7B is 87.3 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 1137.4 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
SmolLM3 8B Hugging Face 32768 $0.21 44.0
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
Pythia 7B EleutherAI 8192 $0.10 40.7
Arctic 1.5B Snowflake 32768 $0.15 43.2
SmolLM3 7B Hugging Face 16384 $0.19 44.3

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
AIME 2025 24.1 596 1th
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

FAQ

What score does Pythia 7B get on Arena Elo?

Pythia 7B scores 1137.4 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Pythia 7B rank on Arena Elo?

It ranks #588 of 600 models, in the 2nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Pythia 7B 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 7B cost?

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

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