Instruction following · EleutherAI

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

Pythia Base scores 68.7 on IFEval, placing it #482 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
68.7
0–100 scale
Rank
#482
of 600
Percentile
20th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
27.4
points

Score distribution

The chart shows the top 10 models on IFEval, with Pythia Base highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Pythia Base sits at #482 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 27.4 points. The median model in this index scores 81.2, which puts Pythia Base below the midpoint.

EleutherAI models average 63.1 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 77.0. Pythia Base is 8.3 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 68.7 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
Pythia Base EleutherAI 16384 $0.99 55.9
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Mixtral 8B Mistral AI 8192 $0.91 55.4

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
HumanEval 59.6 509 15th
MATH-500 55.7 512 15th
AIME 2025 43.9 510 15th
LiveCodeBench 45.7 492 18th
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 IFEval?

Pythia Base scores 68.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Pythia Base rank on IFEval?

It ranks #482 of 600 models, in the 20th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Pythia Base good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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