Preference · EleutherAI

Pythia Instruct on Arena Elo: score, rank and what it means

Pythia Instruct scores 1291.1 on Arena Elo, placing it #430 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1291.1
0–100 scale
Rank
#430
of 600
Percentile
28th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
210.8
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Pythia Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Pythia Instruct sits at #430 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 210.8 points. The median model in this index scores 1373.8, which puts Pythia Instruct below the midpoint.

EleutherAI models average 1208.8 on this benchmark. Pythia Instruct is 82.3 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 1338.0. Pythia Instruct is 46.9 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 1291.1 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 $1.41 per million input tokens, Pythia Instruct is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
StableLM 2 Stability AI 8192 $1.91 65.0
SmolLM3 Hugging Face 8192 $1.71 63.1
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Pythia Instruct EleutherAI 8192 $1.41 60.8
Auto Mini OpenRouter 4096 $4.24 61.6
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1

Other benchmarks for Pythia Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.3 448 25th
GPQA Diamond 58.3 424 29th
SWE-bench Verified 47.1 445 26th
HumanEval 66.3 427 29th
MATH-500 63.5 429 29th
AIME 2025 52.3 443 26th
LiveCodeBench 46.8 480 20th
IFEval 72.4 428 29th
TruthfulQA 66.7 435 28th
HellaSwag 73.8 459 24th
MMMU 56.2 485 19th

FAQ

What score does Pythia Instruct get on Arena Elo?

Pythia Instruct scores 1291.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Pythia Instruct rank on Arena Elo?

It ranks #430 of 600 models, in the 28th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Pythia Instruct good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Instruct cost?

Pythia Instruct costs $1.41 per million input tokens and $5.70 per million output tokens.

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