Coding · EleutherAI

Pythia 1.5B on HumanEval: score, rank and what it means

Pythia 1.5B scores 37.4 on HumanEval, placing it #599 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
37.4
0–100 scale
Rank
#599
of 600
Percentile
1th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
59.4
points

Score distribution

The chart shows the top 10 models on HumanEval, with Pythia 1.5B 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 1.5B sits at #599 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 59.4 points. The median model in this index scores 77.4, which puts Pythia 1.5B below the midpoint.

EleutherAI models average 54.0 on this benchmark. Pythia 1.5B is 16.6 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 1.5B is 19.3 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 37.4 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 1.5B 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
Zephyr 7B Hugging Face 32768 $0.23 42.5
Zephyr 1.5B Hugging Face 32768 $0.10 38.0
SmolLM3 1.5B Hugging Face 8192 $0.04 36.8
StableLM 2 1.5B Stability AI 16384 $0.13 38.3
Pythia 1.5B EleutherAI 4096 $0.10 35.8
GPT-NeoX 1.5B EleutherAI 32768 $0.06 36.4

Other benchmarks for Pythia 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 45.9 600 1th
GPQA Diamond 30.4 600 1th
SWE-bench Verified 20.7 596 1th
MATH-500 32.5 600 1th
AIME 2025 15.8 600 1th
LiveCodeBench 21.2 599 1th
IFEval 52.0 597 1th
TruthfulQA 44.7 598 1th
HellaSwag 57.8 600 1th
MMMU 34.9 600 1th
Arena Elo 1097.8 600 1th

FAQ

What score does Pythia 1.5B get on HumanEval?

Pythia 1.5B scores 37.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Pythia 1.5B rank on HumanEval?

It ranks #599 of 600 models, in the 1st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Pythia 1.5B 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 1.5B cost?

Pythia 1.5B costs $0.10 per million input tokens and $0.54 per million output tokens.

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