Coding · EleutherAI

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

Pythia 7B scores 42.9 on HumanEval, placing it #593 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
42.9
0–100 scale
Rank
#593
of 600
Percentile
1th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
53.9
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Pythia 7B sits at #593 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 53.9 points. The median model in this index scores 77.4, which puts Pythia 7B below the midpoint.

EleutherAI models average 54.0 on this benchmark. Pythia 7B is 11.1 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 56.7. Pythia 7B is 13.8 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 42.9 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 HumanEval. 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
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
Pythia 7B EleutherAI 8192 $0.10 40.7
Pythia 8B EleutherAI 32768 $0.16 41.4
Zephyr 7B Hugging Face 32768 $0.23 42.5

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
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
Arena Elo 1137.4 588 2th

FAQ

What score does Pythia 7B get on HumanEval?

Pythia 7B scores 42.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Pythia 7B rank on HumanEval?

It ranks #593 of 600 models, in the 1st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Pythia 7B good at HumanEval?

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 HumanEval score calculated?

HumanEval 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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