Olmo 2 32B Instruct

allenai

OLMo-2 32B Instruct is a supervised instruction-finetuned variant of the OLMo-2 32B March 2025 base model. It excels in complex reasoning and instruction-following tasks across diverse benchmarks such as GSM8K, MATH, IFEval, and general NLP evaluation. Developed by AI2, OLMo-2 32B is part of an open, research-oriented initiative, trained primarily on English-language datasets to advance the understanding and development of open-source language models.

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Example Use Cases

Open-source reasoning and math

Instruction-following with large context

General nlp evaluation

Technical Specifications

Context Window

128,000 tokens

Max Output

4,096 tokens

Cache Miss Cost

$0.05 per 1M tokens

Non-Reasoning Cost

$0.20 per 1M tokens

Web Search Cost

$15 per 1K calls

Code Execution Cost

$0.19 per 1K calls

⚠️ Legacy

Made legacy on

Reason

Untested

Recommended Replacement

Qwen3.5 Plus