Coding · EleutherAI

Pythia Base on HumanEval: score, rank and what it means

Pythia Base scores 59.6 on HumanEval, placing it #509 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
59.6
0–100 scale
Rank
#509
of 600
Percentile
15th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
37.2
points

Score distribution

The chart shows the top 10 models on HumanEval, with Pythia Base 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 Base sits at #509 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 37.2 points. The median model in this index scores 77.4, which puts Pythia Base below the midpoint.

EleutherAI models average 54.0 on this benchmark. Pythia Base is 5.6 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 72.4. Pythia Base is 12.8 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 59.6 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 $0.99 per million input tokens, Pythia Base 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
Yi-Large 7B 01.AI 4096 $0.83 55.0
Seed-OSS 7B ByteDance 8192 $0.85 55.5
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
DeepSeek-R1 1.5B DeepSeek 16384 $1.04 56.6
Pythia Base EleutherAI 16384 $0.99 55.9
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3

Other benchmarks for Pythia Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.5 524 13th
GPQA Diamond 51.0 510 15th
SWE-bench Verified 43.3 488 19th
MATH-500 55.7 512 15th
AIME 2025 43.9 510 15th
LiveCodeBench 45.7 492 18th
IFEval 68.7 482 20th
TruthfulQA 62.1 503 16th
HellaSwag 71.9 503 16th
MMMU 52.9 521 13th
Arena Elo 1240.6 512 15th

FAQ

What score does Pythia Base get on HumanEval?

Pythia Base scores 59.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Pythia Base rank on HumanEval?

It ranks #509 of 600 models, in the 15th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Pythia Base 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 Base cost?

Pythia Base costs $0.99 per million input tokens and $4.42 per million output tokens.

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