Allen AI: Olmo 3.1 32B Instruct

Public pricingIntelligence 77/100Medium memory

AllenAI: Olmo 3.1 32B Instruct은 일반 대화, 분석, 운영 환경에 맞춘 텍스트 모델입니다. 안정적인 범용 성능, 66K tokens의 컨텍스트, 저비용 특성을 결합해 general chat, analysis, and production workloads에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.20/1M

Output

$0.60/1M

Cached

$0.01/1M

Batch

$0.05/1M

Calculate your Olmo 3.1 32B Instruct bill.

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What would Olmo 3.1 32B Instruct cost you?

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Technical specifications

Olmo 3.1 32B Instruct at a glance.

Memory

65,536

tokens

Max reply

4,096

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Nov 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • math

    93.4

  • aime_2024

    67.8

  • aime_2025

    57.9

  • bbh

    84

  • livecodebench

    54.7

  • ifeval

    88.8

  • mmlu

    80.9

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Olmo 3.1 32B Instruct

  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Olmo 3.1 32B Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Olmo 3.1 32B Instruct costs roughly $39 per month. Input is $0.20 /1M tokens and output is $0.60 /1M tokens.
Olmo 3.1 32B Instruct has a 65,536-token context window (medium memory — a long report or a codebase file). That means you can fit about 12,288 words of input and history in a single call.
Beyond text generation, Olmo 3.1 32B Instruct supports fine-tuning on your own data. It streams replies by default.
Olmo 3.1 32B Instruct was released in November 2025, with training data cut off around June 2025.
Models in a similar class include Olmo 3 32B Think, DeepSeek V3 0324, MiniMax-01. The "Similar models" section below this FAQ links into each.

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