Coding · EleutherAI

Pythia Chat on SWE-bench Verified: score, rank and what it means

Pythia Chat scores 45.6 on SWE-bench Verified, placing it #458 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
45.6
0–100 scale
Rank
#458
of 600
Percentile
24th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
36.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Pythia Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Pythia Chat sits at #458 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 36.1 points. The median model in this index scores 61.0, which puts Pythia Chat below the midpoint.

EleutherAI models average 37.2 on this benchmark. Pythia Chat is 8.4 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 55.5. Pythia Chat is 9.9 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 45.6 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 $1.31 per million input tokens, Pythia Chat is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Llama 3.1 8B Meta AI 8192 $1.15 58.7
Pythia Chat EleutherAI 4096 $1.31 59.1
Llama 3.3 8B Meta AI 8192 $1.26 60.1
MiniMax-M2 7B MiniMax 8192 $1.44 60.8

Other benchmarks for Pythia Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.5 483 20th
GPQA Diamond 55.6 456 24th
HumanEval 61.9 470 22th
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 SWE-bench Verified?

Pythia Chat scores 45.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Pythia Chat rank on SWE-bench Verified?

It ranks #458 of 600 models, in the 24th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Pythia Chat good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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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