Olmo 3.1 32B Think

About Olmo 3.1 32B Think

OLMo is Allen Institute for AI's open language model, designed for research transparency and reproducibility. The model is fully open-source including training data, code, and weights, enabling unprecedented research access. OLMo excels at general language tasks while providing complete visibility into its development. It's particularly valuable for AI research, academic study, and applications requiring full model transparency. The model demonstrates that capable AI can be developed openly. For researchers and developers seeking fully transparent AI, OLMo offers unique openness that proprietary models can't match.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Allen AI Model Lineup

Compare all models from Allen AI to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Qwen3 VL 30B A3B Instruct

Alibaba Qwen

Input: $0.13

Output: $0.52

Context: 131k

DeepSeek V3.2

DeepSeek

Input: $0.26

Output: $0.38

Context: 164k

DeepSeek V3.2

DeepSeek

Input: $0.25

Output: $0.38

Context: 164k

DeepSeek V3.2 Speciale

DeepSeek

Input: $0.27

Output: $0.41

Context: 164k

💡 Cheaper Alternatives

Same Brand (Allen AI)

Cross Brand

🚀 Quick Start

Get started with Olmo 3.1 32B Think API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="allenai/olmo-3.1-32b-think-20251215",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision