Instruction following · Allen Institute for AI

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

OLMo 2 Chat scores 81.2 on IFEval, placing it #301 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
81.2
0–100 scale
Rank
#301
of 600
Percentile
50th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.9
points

Score distribution

The chart shows the top 10 models on IFEval, with OLMo 2 Chat 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 Chat sits at #301 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.9 points. The median model in this index scores 81.2, which puts OLMo 2 Chat above the midpoint.

Allen Institute for AI models average 70.3 on this benchmark. OLMo 2 Chat is 10.9 points above that provider line, so it is a stronger result than the average Allen Institute for AI model.

Among open-weight models, the average is 77.0. OLMo 2 Chat is 4.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 81.2 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 $2.94 per million input tokens, OLMo 2 Chat 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
Llama 3 Modal Chat Modal 65536 $3.55 73.3
Mixtral Mistral AI 65536 $3.48 73.7
Mixtral Base Mistral AI 65536 $2.95 71.1
Mixtral Groq Groq 16384 $3.37 73.1
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Phi-4 Base Microsoft 32768 $3.15 71.2
QwQ Base Alibaba Cloud 65536 $3.68 74.1

Other benchmarks for OLMo 2 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.7 360 40th
GPQA Diamond 64.1 377 37th
SWE-bench Verified 60.9 307 49th
HumanEval 74.7 348 42th
MATH-500 72.4 364 39th
AIME 2025 62.9 366 39th
LiveCodeBench 61.8 351 42th
TruthfulQA 74.4 345 43th
HellaSwag 81.1 369 39th
MMMU 69.0 326 46th
Arena Elo 1365.6 330 45th

FAQ

What score does OLMo 2 Chat get on IFEval?

OLMo 2 Chat scores 81.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does OLMo 2 Chat rank on IFEval?

It ranks #301 of 600 models, in the 50th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is OLMo 2 Chat good at IFEval?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Chat cost?

OLMo 2 Chat costs $2.94 per million input tokens and $12.06 per million output tokens.

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