Atlas / Models / Qwen / Qwen: Qwen3 32B

Qwen: Qwen3 32B✓ Catalog verified

qwen/qwen3-32b

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.

Input price
$0.08 /1M
Output price
$0.24 /1M
Context
41K
Modalities
text
Released
Apr 28, 2025
Tool calling
✓ Yes
Atlas signal
84/100
01

Overview

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.

Access: available through the official Qwen API. Context window: 41K.

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

Specifications

API identifierqwen/qwen3-32b
ProviderQwen
Model typeText LLM
Context window41K catalog
Input modalitiestext
Output modalitiestext
ReleasedApr 28, 2025
TokenizerQwen3
Instruction formatqwen3
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for qwen/qwen3-32b as published in the catalog.

$0.08
Input /1M
$0.24
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$8e-8$0.08 / 1MPer input token
Completion tokens$2.4e-7$0.24 / 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

$0.09Calculated 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 Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy 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.

Qwen: Qwen3 32B
MMLU Signal (Reasoning)
92signal
Coding Signal (HumanEval proxy)
83signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
74signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen3 32B 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="qwen/qwen3-32b",
    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 Qwen: Qwen3 32B cost?

$0.08 per 1M input tokens and $0.24 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen3 32B?

Qwen: Qwen3 32B supports up to 41K tokens of context.

Does Qwen: Qwen3 32B support tool / function calling?

Yes, Qwen: Qwen3 32B supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen3 32B?

Use the official Qwen API with the model id `qwen/qwen3-32b`. See the Quick start section above for code examples.