Olmo 3.1 32B Instruct
Olmo 3.1 32B Instruct is a large-scale, 32-billion-parameter instruction-tuned language model engineered for high-performance conversational AI, multi-turn dialogue, and practical instruction following. As part of the Olmo 3.1 family, this...
Context window
This model accepts 66K tokens in one request (~49K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 65,536 tokens (66K)
- Speed tier
- balanced
- Provider
- Allenai
- Release date
- Jan 2026
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
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Compare Olmo 3.1 32B Instruct
Open a side-by-side comparison with one click.
- Olmo 3.1 32B Instruct vs Amazon Titan Text Express
Olmo 3.1 32B Instruct has 56% larger context window
- Olmo 3.1 32B Instruct vs Amazon Titan Text Lite
Olmo 3.1 32B Instruct has 56% larger context window
- Olmo 3.1 32B Instruct vs Amazon Titan Text Premier
Olmo 3.1 32B Instruct has 56% larger context window
- Olmo 3.1 32B Instruct vs Claude Instant
Claude Instant has 52% larger context window
- Olmo 3.1 32B Instruct vs Anthropic Claude
Anthropic Claude has 52% larger context window
- Olmo 3.1 32B Instruct vs Codellama 34b Instruct
Olmo 3.1 32B Instruct has 1500% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
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