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OLMo 3 32B

by AllenAI
Efficient Free & Open Source 🏆 Ranked #65 of 85
64.0
Overall Score
out of 100
About

Allen Institute for AI's 32B open language model with full training transparency. Delivers excellent results for everyday tasks with the gold standard of open science — open weights, data, and code.

Key Metrics
Context Window
4K
tokens
Avg Response
750
milliseconds
Input Cost
$0.14
per million tokens
Output Cost
$0.14
per million tokens
Arena ELO
1195
Chatbot Arena rating
MT-Bench
8.2
out of 10
Benchmark Scores
MMLU
75.0%
HumanEval
74.0%
MATH
62.0%
GPQA
35.0%
MT-Bench
82.0/10
Capability Profile
Strengths & Limitations
Strengths
✓ Fully transparent ✓ Open training data ✓ Open source ✓ Good capability ✓ Research benchmark
Limitations
⚠ Below leading open-weights models ⚠ Smaller community ⚠ Less instruction-tuned
Ideal Use Cases
AI research Academic benchmarking Open-science AI Education Reproducibility studies
Model Details
Provider AllenAI
Released 2025-02-01
Type Free & Open Source
Multimodal No
Tier Efficient
Global rank #65 / 85
Pricing (USD)
Input tokens $0.14/M
Output tokens $0.14/M
Per 1,000 tokens ≈ $0.0001 input / $0.0001 output
All Benchmarks
MMLU 75.0%
HumanEval 74.0%
MATH 62.0%
GPQA 35.0%
MT-Bench 8.2/10
Arena ELO 1195
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