Coding · EleutherAI

Pythia on LiveCodeBench: score, rank and what it means

Pythia scores 52.2 on LiveCodeBench, placing it #427 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
52.2
0–100 scale
Rank
#427
of 600
Percentile
29th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
32.9
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Pythia sits at #427 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 32.9 points. The median model in this index scores 64.7, which puts Pythia below the midpoint.

EleutherAI models average 38.6 on this benchmark. Pythia is 13.6 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 59.1. Pythia is 6.9 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 52.2 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
Embed 4 Pro Cohere 4096 $5.05 63.5
Pythia EleutherAI 32768 $1.29 59.8
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6

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
IFEval 70.4 454 24th
TruthfulQA 67.2 426 29th
HellaSwag 72.8 485 19th
MMMU 55.0 497 17th
Arena Elo 1259.9 476 21th

FAQ

What score does Pythia get on LiveCodeBench?

Pythia scores 52.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Pythia rank on LiveCodeBench?

It ranks #427 of 600 models, in the 29th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Pythia good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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