Coding · EleutherAI

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

Pythia 7B scores 25.9 on LiveCodeBench, placing it #591 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
25.9
0–100 scale
Rank
#591
of 600
Percentile
2th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
59.2
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Pythia 7B 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 7B sits at #591 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 59.2 points. The median model in this index scores 64.7, which puts Pythia 7B below the midpoint.

EleutherAI models average 38.6 on this benchmark. Pythia 7B is 12.7 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 41.2. Pythia 7B is 15.3 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 25.9 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 $0.10 per million input tokens, Pythia 7B 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
StableLM 2 7B Stability AI 8192 $0.28 44.3
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
Zephyr 7B Hugging Face 32768 $0.23 42.5
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Pythia 7B EleutherAI 8192 $0.10 40.7
Arctic 1.5B Snowflake 32768 $0.15 43.2
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8

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
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 LiveCodeBench?

Pythia 7B scores 25.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Pythia 7B rank on LiveCodeBench?

It ranks #591 of 600 models, in the 2nd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Pythia 7B 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 7B cost?

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

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