Instruction following · Allen Institute for AI

Molmo 1.5B on IFEval: score, rank and what it means

Molmo 1.5B scores 57.8 on IFEval, placing it #583 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
57.8
0–100 scale
Rank
#583
of 600
Percentile
3th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
38.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Molmo 1.5B 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, Molmo 1.5B sits at #583 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 38.3 points. The median model in this index scores 81.2, which puts Molmo 1.5B below the midpoint.

Allen Institute for AI models average 70.3 on this benchmark. Molmo 1.5B is 12.5 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. Molmo 1.5B is 7.1 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 57.8 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 $0.21 per million input tokens, Molmo 1.5B 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
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1
Mixtral Turbo 1.5B Together AI 4096 $0.31 47.6
DBRX 1.5B Databricks 16384 $0.32 47.0
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8
SmolLM3 7B Hugging Face 16384 $0.19 44.3
StableLM 2 7B Stability AI 8192 $0.28 44.3

Other benchmarks for Molmo 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 50.8 590 2th
GPQA Diamond 39.8 586 2th
SWE-bench Verified 28.4 584 3th
HumanEval 47.3 587 2th
MATH-500 38.8 594 1th
AIME 2025 27.6 588 2th
LiveCodeBench 25.5 593 1th
TruthfulQA 48.4 595 1th
HellaSwag 63.6 591 2th
MMMU 43.1 586 2th
Arena Elo 1139.5 587 2th

FAQ

What score does Molmo 1.5B get on IFEval?

Molmo 1.5B scores 57.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Molmo 1.5B rank on IFEval?

It ranks #583 of 600 models, in the 3rd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Molmo 1.5B 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 Molmo 1.5B cost?

Molmo 1.5B costs $0.21 per million input tokens and $0.93 per million output tokens.

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