How much does Qwen3 32B cost?

Qwen3 32B costs $0.08/M input tokens and $0.28/M output tokens.

What is the context length of Qwen3 32B?

Qwen3 32B has a 131,072 token context window. It supports up to 16,384 completion tokens.

Does Qwen3 32B support tool calling and structured outputs?

Yes. Qwen3 32B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Which providers serve Qwen3 32B?

Qwen3 32B is served by 3 providers on OpenRouter: DeepInfra, Tenstorrent, and SiliconFlow. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Qwen3 32B released?

Qwen3 32B was released on April 28, 2025. Its knowledge cutoff is March 31, 2025.

Qwen: Qwen3 32B

qwen/qwen3-32b

Model weights

Compare

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.

Modalities

In / out price

$0.08 / $0.28per 1M

Context

131K

Released

Apr 28, 2025

Knowledge cutoff

Mar 2025

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


$0.08	$0.28	--	0.36s	50 tok/s	99.63%
$0.14	$0.40	$0.09	0.48s	44 tok/s	99.46%
$0.14	$0.57	--	1.32s	29 tok/s	99.45%

Input $0.08Output $0.28
50 tok/s99.63% uptime
Input $0.14Output $0.40
44 tok/s99.46% uptime
Input $0.14Output $0.57
29 tok/s99.45% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.08281/M tokens

Output

$0.2992/M tokens

Qwen3 32B — Price history

Price history

No effective price data for this selection

$0.0794	$0.278	0.0%	93.1%
$0.1303	$0.398	17.7%	3.0%
$0.1382	$0.568	11.3%	3.9%

Effective in $0.0794Effective out $0.278
Token share
93.1%
Effective in $0.1303Effective out $0.398
Token share
3.0%
Effective in $0.1382Effective out $0.568
Token share
3.9%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.96%

Availability over the last 3 days

Last 72 hours

Availability 99.96%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.98%

Without Routing

95.19%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Qwen: Qwen3 32B (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Qwen3 32B (Reasoning) Coding Index	15.3
Artificial Analysis	Qwen3 32B (Reasoning) Agentic Index	0.9
Artificial Analysis	Qwen3 32B (Reasoning) GPQA Diamond	66.8%
Artificial Analysis	Qwen3 32B (Reasoning) HLE	7.4%
Artificial Analysis	Qwen3 32B (Reasoning) IFBench	36.3%
Artificial Analysis	Qwen3 32B (Reasoning) τ²-Bench Telecom	29.8%
Artificial Analysis	Qwen3 32B (Reasoning) AA-LCR	0.0%
Artificial Analysis	Qwen3 32B (Reasoning) τ-Bench Banking	5.4%
Artificial Analysis	Qwen3 32B (Reasoning) GDPval-AA	0.0%
Artificial Analysis	Qwen3 32B (Reasoning) CritPt	0.3%
Artificial Analysis	Qwen3 32B (Reasoning) LiveCodeBench	54.6%
Artificial Analysis	Qwen3 32B (Reasoning) SciCode	36.0%
Artificial Analysis	Qwen3 32B (Reasoning) Terminal-Bench Hard	3.0%
Artificial Analysis	Qwen3 32B (Reasoning) Terminal-Bench 4.0	0.0%
Artificial Analysis	Qwen3 32B (Reasoning) Terminal-Bench 2.1	5.2%
Artificial Analysis	Qwen3 32B (Reasoning) MMLU-Pro	79.8%
Artificial Analysis	Qwen3 32B (Reasoning) AIME 2025	73.0%
Artificial Analysis	Qwen3 32B (Reasoning) AIME	80.7%
Artificial Analysis	Qwen3 32B (Reasoning) MATH-500	96.1%
Artificial Analysis	Qwen3 32B (Non-reasoning) GPQA Diamond	53.5%
Artificial Analysis	Qwen3 32B (Non-reasoning) HLE	4.1%
Artificial Analysis	Qwen3 32B (Non-reasoning) IFBench	31.5%
Artificial Analysis	Qwen3 32B (Non-reasoning) AA-LCR	0.0%
Artificial Analysis	Qwen3 32B (Non-reasoning) LiveCodeBench	28.8%
Artificial Analysis	Qwen3 32B (Non-reasoning) MMLU-Pro	72.7%
Artificial Analysis	Qwen3 32B (Non-reasoning) AIME 2025	19.7%
Artificial Analysis	Qwen3 32B (Non-reasoning) AIME	30.3%
Artificial Analysis	Qwen3 32B (Non-reasoning) MATH-500	86.9%

Not currently available through EU in-region routing. In-region routing docs

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Providers