Allen AI: Olmo 3 32B Think

Public pricingIntelligence 79/100Medium memoryDiep redeneren

AllenAI: Olmo 3 32B Think is een tekst-model voor redeneren en probleemoplossing. Het combineert diep redeneren en plannen, een context van 66K tokens en een laag geprijsd-profiel voor betrouwbaar werk in reasoning, analysis, and hard problem solving. Het is een praktische keuze wanneer kwaliteit, snelheid en kosten belangrijk is, vooral voor teams die stabiele output,

Input

$0.15/1M

Output

$0.50/1M

Cached

$0.01/1M

Batch

$0.05/1M

Calculate your Olmo 3 32B Think bill.

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What would Olmo 3 32B Think cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Olmo 3 32B Think at a glance.

Memory

65,536

tokens

Max reply

65,536

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.

  • aime_2024

    76.8

  • aime_2025

    72.5

  • bbh

    89.8

  • ifeval

    89

  • livecodebench

    83.5

  • math

    96.1

  • mmlu

    85.4

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 32B Think

  • Multi-step reasoning, research agents, or hard math.
  • 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 32B Think — 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 32B Think costs roughly $31 per month. Input is $0.15 /1M tokens and output is $0.50 /1M tokens.
Olmo 3 32B Think 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 32B Think supports deep step-by-step reasoning, fine-tuning on your own data. It streams replies by default.
Olmo 3 32B Think was released in November 2025, with training data cut off around June 2025.
Models in a similar class include DeepSeek V3.1, MiniMax M2.5, Qwen3 Coder Next. The "Similar models" section below this FAQ links into each.

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