Olmo 3 32B Think

olmo-3-32b-think

Olmo 3.1 32B Think is a 32B-parameter reasoning model built for complex, multi-step logic and advanced instruction following. It improves on earlier Olmo versions with more refined reasoning and stronger performance on challenging evaluations, and — as part of AI2’s open initiative — it's fully transparent and released under Apache 2.0 with open weights, code, and training details.

Context: 65.5K tokens
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Pricing

Input$0.30 / 1M

Output$0.45 / 1M

Cache Write (5m)$0.30 / 1M

Cache Write (1h)$0.30 / 1M

Cache Read$0.30 / 1M

Web Search$0 / 1M

Quick Start

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Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="olmo-3-32b-think",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="olmo-3-32b-think",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common7 params

modelmessagesmax_tokenstemperaturetop_pstreamtools

Extended4 params

reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

olmo-3-32b-think

Compare with Other Models

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Olmo 3.1 32B Instruct

Olmo 3.1 32B Instruct is a 32B-parameter instruction-tuned model optimized for conversational AI and multi-turn dialogue. It focuses on strong instruction following and responsive chat behavior while maintaining solid reasoning and coding performance. Released by AI2 under Apache 2.0, it is fully open and transparent.

Context: 65.5K
Input: $0.20/M
Output: $0.60/M

Olmo 3 7B Instruct

Olmo 3 7B Instruct is a 7B instruction-tuned version of the Olmo 3 base model, optimized for Q&A, instruction following, and natural conversation. Trained with high-quality data in an open pipeline, it performs well on everyday NLP tasks and is easy to adopt. Released by AI2 under Apache 2.0, it provides a transparent, community-friendly choice for instruction-driven applications.

Context: 65.5K
Input: $0.10/M
Output: $0.20/M

Olmo 3 7B Think

Olmo 3 7B Think is a lightweight reasoning-focused model in the Olmo family, aimed at multi-step problem solving, logical inference, and instruction-driven tasks while keeping conversations coherent. Built by AI2 and released under Apache 2.0, it's fully open and well suited for both research and practical NLP workflows.

Context: 65.5K
Input: $0.12/M
Output: $0.20/M