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.
$0.108
output $0.378
median $0.977 · best $0.0494
$0.378
per 1M tokens generated
median $3.531 · best $0.2164
91.43%
537 observations since 2026-05-02
median 96.2% · best 100.0%
45.9 tok/s
probe median, one fixed prompt
median 40.8 tok/s · best 308.3 tok/s
8.95 s
probe median, to a complete answer
median 2.50 s · best 0.52 s
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
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$12.15
$0.4050 / day on Qwen 3 32B
Same workload on:
Estimates use list pricing. Actual bills depend on real token counts, and every response includes its exact cost.
When to use Qwen 3 32B
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.
| Spec | Qwen 3 32B | Qwen 3.8 27B | Qwen 3.7 Flash |
|---|---|---|---|
| Input /1M | $0.108 | $0.567 | $0.0498 |
| Output /1M | $0.378 | $4.05 | $0.2164 |
| Context | 33K | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Throughput | 45.9 tok/s | 50.2 tok/s | 108.3 tok/s |
Quick start
Up and running in under two minutes.
- 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
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
Stream responses
Add
"stream": trueto 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?
How much does the Qwen 3 32B API cost?
Does Qwen 3 32B support function calling?
Are the weights for Qwen 3 32B publicly available?
How do I use Qwen 3 32B?
Does this model support function calling and structured JSON outputs?
How does Kyma handle request routing for this model?
Can I reduce costs for repetitive prompts?
More models by Alibaba
See all 14 →| Model | Context | Input | Output |
|---|---|---|---|
Qwen 3.8 Flash | 1M | $0.203 | $0.635 |
Qwen 3.8 27B | 1M | $0.567 | $4.05 |
Qwen 3.8 Max | 1M | $2.2275 | $6.684 |
Qwen 3.7 Flash | 1M | $0.0498 | $0.2164 |
Qwen 3.7 Plus | 1M | $0.4431 | $1.773 |
Qwen 3.7 Max | 1M | $2.304 | $6.909 |
Qwen 3.6 Plus | 131K | $0.655 | $3.93 |
Qwen 3 Coder | 131K | $0.334 | $1.519 |
