Olmo 3.1 32B Think vs DeepSeek V3.2 Speciale

Compare Olmo 3.1 32B Think from Ai2 and DeepSeek V3.2 Speciale from DeepSeek on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

Olmo 3.1 32B Think vs DeepSeek V3.2 Speciale: side-by-side summary

Olmo 3.1 32B Think and DeepSeek V3.2 Speciale are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

Olmo 3.1 32B Think, from Ai2, has a 65,536-token context window and is priced by the provider serving it on OpenRouter.

DeepSeek V3.2 Speciale, from DeepSeek, has a 131,072-token context window and is priced by the provider serving it on OpenRouter.

Context window

Olmo 3.1 32B Think: 65,536 tokens
DeepSeek V3.2 Speciale: 131,072 tokens

Price

Olmo 3.1 32B Think: Pricing varies by provider
DeepSeek V3.2 Speciale: Pricing varies by provider

Provided by

Olmo 3.1 32B Think: Ai2
DeepSeek V3.2 Speciale: DeepSeek

Olmo 3.1 32B Think vs DeepSeek V3.2 Speciale at a glance

Olmo 3.1 32B Think vs DeepSeek V3.2 Speciale comparison
Attribute	Olmo 3.1 32B Think	DeepSeek V3.2 Speciale
Input price	Pricing varies by provider	Pricing varies by provider
Output price	Pricing varies by provider	Pricing varies by provider
Context window	65,536 tokens	131,072 tokens
Intelligence Index	7.1	14.5
Coding Index	Not available	Not available
Agentic Index	Not available	Not available
Latency (p50)	Not available	Not available
Throughput (p50)	Not available	Not available

Benchmark data updated Oct 5, 2026

Frequently asked questions

Which has the longer context window, Olmo 3.1 32B Think or DeepSeek V3.2 Speciale?

DeepSeek V3.2 Speciale has the longer context window at 131,072 tokens, compared with 65,536 tokens for Olmo 3.1 32B Think.

Olmo 3.1 32B Think vs DeepSeek V3.2 Speciale

Olmo 3.1 32B Think vs DeepSeek V3.2 Speciale

Overview