Alibaba

Alibaba

Qwen 3 32B

A fast, cost-efficient 32B language model optimized for code generation, mathematical reasoning, and multilingual text tasks. Developers should reach for it when they need reliable technical performance without the latency or overhead of larger models.

Modalities

Text → Text

Weights

Published

Qwen/Qwen3-32B

Where it sits in the catalogue Kyma measures

Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.

Price · input#6/70

$0.108

output $0.378

median $0.977 · best $0.0494

Price · output#6/70

$0.378

per 1M tokens generated

median $3.531 · best $0.2164

Availability · 30d#53/68

91.43%

537 observations since 2026-05-02

median 96.2% · best 100.0%

Throughput#32/68

45.9 tok/s

probe median, one fixed prompt

median 40.8 tok/s · best 308.3 tok/s

Response time#65/68

8.95 s

probe median, to a complete answer

median 2.50 s · best 0.52 s

Context

33K

max output 8,192

published by Alibaba, not measured here

Tick above each rail is this model, below it the other 69. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.

Usage

How much this model is actually called here.

Rank

#14

of 113 active models

Tokens served

37.7M

all-time

Platform share

1.2%

of all tokens

Tokens · last 15 daysAug 21Sep 4

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$0.108 /1M input$0.378 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.12/mo
Production1,000 req/day · 2K in / 500 out
~$12.15/mo
Scale20,000 req/day · 2K in / 500 out
~$243/mo
+ Estimate your workload
1,000
2,000
500

Estimated monthly cost

$12.15

$0.4050 / day on Qwen 3 32B

Same workload on:

Qwen 3.8 27B$94.77+680%
Qwen 3.7 Flash$6.23-49%

Estimates use list pricing. Actual bills depend on real token counts, and every response includes its exact cost.

When to use Qwen 3 32B

Updated 2026-07-31

Where this model earns its cost — and where it doesn't.

Qwen 3 32B is a text-only language model built by Alibaba. It is designed around technical workloads, handling programming, mathematics, and translation across multiple languages. The model natively supports tool use, structured outputs, and explicit reasoning steps.

On Kyma, it runs with a 32,768-token context window and an 8,192-token maximum output. It operates in the fast and cheap tiers. Prompt caching is fully supported, billing repeated prompt prefixes at this model's cached input rate.

The model is strictly text-in, text-out and does not support vision or multimodal inputs. While it handles reasoning and tool calls reliably, its output limit means it is not suited for generating extremely long documents or extended codebases in a single pass. Kyma routes requests through an OpenAI-compatible endpoint with automatic failover and exact cost reporting.

Automated Code Generation

Generates and refines code snippets across multiple programming languages with tool-use support.

Mathematical Problem Solving

Breaks down complex math problems using explicit reasoning steps to reach accurate solutions.

Multilingual Text Translation

Translates technical and conversational text across supported languages while preserving context.

Interactive Chat Assistants

Powers responsive conversational agents that leverage structured outputs and automatic failover.

Not ideal for: Tasks requiring image or video understanding, or workloads that need outputs exceeding 8,192 tokens in a single response.

How it compares

Against the peers people actually weigh it against.

SpecQwen 3 32BQwen 3.8 27BQwen 3.7 Flash
Input /1M$0.108$0.567$0.0498
Output /1M$0.378$4.05$0.2164
Context33K1M1M
ToolsYesYesYes
ReasoningYesYesYes
Throughput45.9 tok/s50.2 tok/s108.3 tok/s

Quick start

Up and running in under two minutes.

  1. 1

    Create an API key

    Sign up and grab a key from the dashboard — $0.50 free credit, no card required.

    Get API key →
  2. 2

    Make your first request

    Drop in your key and send a chat completion — fully OpenAI-compatible.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "qwen-3-32b",
        "messages": [
          {"role": "user", "content": "Explain prompt caching in one paragraph."}
        ]
      }'
  3. 3

    Stream responses

    Add "stream": true to receive tokens as they arrive.

    curl https://kymaapi.com/v1/chat/completions \
      -H "Authorization: Bearer YOUR_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "qwen-3-32b",
        "stream": true,
        "messages": [{"role": "user", "content": "Hello!"}]
      }'

FAQ

Common questions about this model.

What is the context window of Qwen 3 32B?

Qwen 3 32B has a 33K-token context window — roughly 48 pages of text in a single request.

How much does the Qwen 3 32B API cost?

$0.108 per 1M input tokens and $0.378 per 1M output tokens. No subscription; you pay only for what you use.

Does Qwen 3 32B support function calling?

Yes — Qwen 3 32B supports tool/function calling and structured outputs (JSON mode), so it works with agent frameworks out of the box.

Are the weights for Qwen 3 32B publicly available?

Yes. Alibaba publishes Qwen 3 32B's weights as Qwen/Qwen3-32B, so you can download and run the model yourself (https://huggingface.co/Qwen/Qwen3-32B, read 2026-08-14). Kyma serves it because it is convenient and has failover behind it, not because it is the only way to reach it.

How do I use Qwen 3 32B?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to qwen-3-32b. Signing up is free and includes $0.50 of credit — no card required.

Does this model support function calling and structured JSON outputs?

Yes, it natively supports tool use and structured outputs, making it compatible with standard OpenAI-compatible SDKs on Kyma.

How does Kyma handle request routing for this model?

Every request uses automatic failover; if a serving path degrades, Kyma reroutes the call transparently while reporting the exact model used in the X-Kyma-Model header.

Can I reduce costs for repetitive prompts?

Yes, prompt caching is enabled, billing repeated prompt prefixes at this model's cached input rate.

Start with $0.50 free credit — no card required.Create account →

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ModelContextInputOutput
AlibabaQwen 3.8 Flash1M$0.203$0.635
AlibabaQwen 3.8 27B1M$0.567$4.05
AlibabaQwen 3.8 Max1M$2.2275$6.684
AlibabaQwen 3.7 Flash1M$0.0498$0.2164
AlibabaQwen 3.7 Plus1M$0.4431$1.773
AlibabaQwen 3.7 Max1M$2.304$6.909
AlibabaQwen 3.6 Plus131K$0.655$3.93
AlibabaQwen 3 Coder131K$0.334$1.519