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 …
Model details →AllenAI: Olmo 3.1 32B Instruct vs DeepSeek: DeepSeek V3.1 Terminus (exacto)
AllenAI: Olmo 3.1 32B Instruct and DeepSeek: DeepSeek V3.1 Terminus (exacto) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further …
Model details →Side-by-side comparison
| Capability | AllenAI: Olmo 3.1 32B Instruct | DeepSeek: DeepSeek V3.1 Terminus (exacto) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 66K | 164K | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.20 | $0.21 | 🏆 AllenAI: Olmo 3.1 32B Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $0.79 | 🏆 AllenAI: Olmo 3.1 32B Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
Frequently asked questions
Is AllenAI: Olmo 3.1 32B Instruct better than DeepSeek: DeepSeek V3.1 Terminus (exacto)?
AllenAI: Olmo 3.1 32B Instruct and DeepSeek: DeepSeek V3.1 Terminus (exacto) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between AllenAI: Olmo 3.1 32B Instruct and DeepSeek: DeepSeek V3.1 Terminus (exacto)?
Input: $0.20 vs $0.21 per 1M tokens. Output: $0.60 vs $0.79 per 1M tokens.
What context windows do AllenAI: Olmo 3.1 32B Instruct and DeepSeek: DeepSeek V3.1 Terminus (exacto) support?
AllenAI: Olmo 3.1 32B Instruct supports up to 66K tokens. DeepSeek: DeepSeek V3.1 Terminus (exacto) supports up to 164K tokens.
Do both AllenAI: Olmo 3.1 32B Instruct and DeepSeek: DeepSeek V3.1 Terminus (exacto) support tool calling?
AllenAI: Olmo 3.1 32B Instruct: yes. DeepSeek: DeepSeek V3.1 Terminus (exacto): yes.