Atlas / Models / Allenai / AllenAI: Olmo 3.1 32B Think

AllenAI: Olmo 3.1 32B Think✓ Catalog verified

allenai/olmo-3.1-32b-think

Olmo 3.1 32B Think is a large-scale, 32-billion-parameter model designed for deep reasoning, complex multi-step logic, and advanced instruction following. Building on the Olmo 3 series, version 3.1 delivers refined reasoning behavior and stronger performance across demanding evaluations and nuanced conversational tasks. Developed by Ai2 under the Apache 2.0 license, Olmo 3.1 32B Think continues the Olmo initiative’s commitment to openness, providing full transparency across model weights, code, and training methodology.

Input price
$0.15 /1M
Output price
$0.50 /1M
Context
66K
Modalities
text
Released
Dec 16, 2025
Tool calling
Atlas signal
85/100
01

Overview

Olmo 3.1 32B Think is a large-scale, 32-billion-parameter model designed for deep reasoning, complex multi-step logic, and advanced instruction following. Building on the Olmo 3 series, version 3.1 delivers refined reasoning behavior and stronger performance across demanding evaluations and nuanced conversational tasks. Developed by Ai2 under the Apache 2.0 license, Olmo 3.1 32B Think continues the Olmo initiative’s commitment to openness, providing full transparency across model weights, code, and training methodology.

Access: available through the official Allenai API. Context window: 66K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierallenai/olmo-3.1-32b-think
ProviderAllenai
Model typeText LLM
Context window66K catalog
Input modalitiestext
Output modalitiestext
ReleasedDec 16, 2025
ModeratedNo
Architecture modalitytext->text
Scheduled expiry2026-04-06
Supported parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": 0.95,
  "temperature": 0.6,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for allenai/olmo-3.1-32b-think as published in the catalog.

$0.15
Input /1M
$0.50
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$1.5e-7$0.15 / 1MPer input token
Completion tokens$5e-7$0.50 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.17Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool CallingNot advertisedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

AllenAI: Olmo 3.1 32B Think
MMLU Signal (Reasoning)
92signal
Coding Signal (HumanEval proxy)
87signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
74signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call AllenAI: Olmo 3.1 32B Think through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="allenai/olmo-3.1-32b-think",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does AllenAI: Olmo 3.1 32B Think cost?

$0.15 per 1M input tokens and $0.50 per 1M output tokens on the official Allenai API.

What is the context window of AllenAI: Olmo 3.1 32B Think?

AllenAI: Olmo 3.1 32B Think supports up to 66K tokens of context.

Does AllenAI: Olmo 3.1 32B Think support tool / function calling?

AllenAI: Olmo 3.1 32B Think does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.

How do I access AllenAI: Olmo 3.1 32B Think?

Use the official Allenai API with the model id `allenai/olmo-3.1-32b-think`. See the Quick start section above for code examples.