Allen AI: Olmo 3 32B Think

Public pricingIntelligence 79/100Medium memoryगहरी सोच

AllenAI: Olmo 3 32B Think एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना, 66K tokens का context और कम लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर 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.

  • math

    96.1

  • aime_2024

    76.8

  • aime_2025

    72.5

  • bbh

    89.8

  • livecodebench

    83.5

  • ifeval

    89

  • 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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