Instruction following · Allen Institute for AI

OLMo 2 7B on IFEval: score, rank and what it means

OLMo 2 7B scores 63.4 on IFEval, placing it #544 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
63.4
0–100 scale
Rank
#544
of 600
Percentile
9th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
32.7
points

Score distribution

The chart shows the top 10 models on IFEval, with OLMo 2 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, OLMo 2 7B sits at #544 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 32.7 points. The median model in this index scores 81.2, which puts OLMo 2 7B below the midpoint.

Allen Institute for AI models average 70.3 on this benchmark. OLMo 2 7B is 6.9 points below that provider line, so it is a weaker result than the average Allen Institute for AI model.

Among small open-weight models, the average is 64.9. OLMo 2 7B is 1.5 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 63.4 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 $0.56 per million input tokens, OLMo 2 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
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
Arctic 7B Snowflake 8192 $0.49 50.3
QwQ 1.5B Alibaba Cloud 32768 $0.61 51.6

Other benchmarks for OLMo 2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 533 11th
GPQA Diamond 48.2 536 11th
SWE-bench Verified 35.5 552 8th
HumanEval 55.9 536 11th
MATH-500 49.0 563 6th
AIME 2025 41.2 535 11th
LiveCodeBench 40.3 536 11th
TruthfulQA 59.1 540 10th
HellaSwag 67.0 564 6th
MMMU 50.1 553 8th
Arena Elo 1211.0 543 10th

FAQ

What score does OLMo 2 7B get on IFEval?

OLMo 2 7B scores 63.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does OLMo 2 7B rank on IFEval?

It ranks #544 of 600 models, in the 9th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is OLMo 2 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 OLMo 2 7B cost?

OLMo 2 7B costs $0.56 per million input tokens and $2.58 per million output tokens.

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