Instruction following · EleutherAI

Pythia 7B on IFEval: score, rank and what it means

Pythia 7B scores 52.4 on IFEval, placing it #595 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
52.4
0–100 scale
Rank
#595
of 600
Percentile
1th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
43.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Pythia 7B 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 7B sits at #595 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 43.7 points. The median model in this index scores 81.2, which puts Pythia 7B below the midpoint.

EleutherAI models average 63.1 on this benchmark. Pythia 7B is 10.7 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 64.9. Pythia 7B is 12.5 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 52.4 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 $0.10 per million input tokens, Pythia 7B 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
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
Arctic 1.5B Snowflake 32768 $0.15 43.2
Pythia 8B EleutherAI 32768 $0.16 41.4
Zephyr 1.5B Hugging Face 32768 $0.10 38.0
Pythia 7B EleutherAI 8192 $0.10 40.7
Nemotron Nano 1.5B NVIDIA 8192 $0.10 41.5
Pythia 1.5B EleutherAI 4096 $0.10 35.8

Other benchmarks for Pythia 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.4 592 1th
GPQA Diamond 35.1 596 1th
SWE-bench Verified 26.8 589 2th
HumanEval 42.9 593 1th
MATH-500 42.3 589 2th
AIME 2025 24.1 596 1th
LiveCodeBench 25.9 591 2th
TruthfulQA 47.1 597 1th
HellaSwag 61.7 593 1th
MMMU 38.7 597 1th
Arena Elo 1137.4 588 2th

FAQ

What score does Pythia 7B get on IFEval?

Pythia 7B scores 52.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Pythia 7B rank on IFEval?

It ranks #595 of 600 models, in the 1st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Pythia 7B 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 7B cost?

Pythia 7B costs $0.10 per million input tokens and $0.36 per million output tokens.

Related