Coding · EleutherAI

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

Pythia Chat scores 61.9 on HumanEval, placing it #470 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
61.9
0–100 scale
Rank
#470
of 600
Percentile
22th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
34.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Pythia Chat 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 Chat sits at #470 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 34.9 points. The median model in this index scores 77.4, which puts Pythia Chat below the midpoint.

EleutherAI models average 54.0 on this benchmark. Pythia Chat is 7.9 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 Chat is 10.5 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 61.9 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 $1.31 per million input tokens, Pythia Chat 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
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
Pythia Chat EleutherAI 4096 $1.31 59.1
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Hunyuan-Large 7B Tencent 32768 $1.08 57.7

Other benchmarks for Pythia Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.5 483 20th
GPQA Diamond 55.6 456 24th
SWE-bench Verified 45.6 458 24th
MATH-500 59.3 474 21th
AIME 2025 50.8 454 24th
LiveCodeBench 45.1 498 17th
IFEval 69.6 468 22th
TruthfulQA 66.2 442 26th
HellaSwag 72.5 487 19th
MMMU 60.1 428 29th
Arena Elo 1271.0 456 24th

FAQ

What score does Pythia Chat get on HumanEval?

Pythia Chat scores 61.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Pythia Chat rank on HumanEval?

It ranks #470 of 600 models, in the 22nd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Pythia Chat 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 Chat cost?

Pythia Chat costs $1.31 per million input tokens and $5.35 per million output tokens.

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