LLM Reference

QwQ 32B

Released
2025-03-05
Last refreshed
2026-06-15
Status
Researched 135d ago
Open weightsCommercial use: unknownLong context

QwQ 32B is worth evaluating for long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating long context
  • Workloads that can use a 128k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
QwQ
Released
2025-03-05
Context
128k
Parameters
32.5B
Architecture
Decoder Only
Specialization
reasoning
Openness
Open weights
Weights
Available
Code
Unknown
Training
Pretrained
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$1.00
Input / 1M
$0.660

Cheapest of 2 routes · Cloudflare Workers AI

About

QwQ-32B is the first full release in Alibaba's QwQ reasoning series. Built on a 32.5B-parameter dense transformer, it achieves significantly enhanced performance on complex tasks—mathematics, coding, and multi-step reasoning—through extended chain-of-thought thinking. Available open-weight on Hugging Face, it delivers frontier reasoning in an efficient package.

Top use-case fit

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Cloudflare Workers AI$0.660$1.00
Serverless
OpenRouter--
ServerlessPartial

Capabilities

Reasoning

Benchmark peer barsfor Long context

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.