Qwen3 32B pricing & benchmarks
Released Apr 28, 2025 · served by 5 providers
What Qwen3 32B is
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...
- Model ID:
qwen/qwen3-32b - Modality: text->text
- Knowledge cutoff: 2025-03-31
- Tool calling: supported · Structured output: supported
- Weights:
Qwen/Qwen3-32Bon Hugging Face
Providers and prices for Qwen3 32B
The same model costs different amounts depending on who serves it. Prices are per 1M tokens, cheapest first. Uptime and throughput are OpenRouter's rolling measurements, not vendor claims.
| Provider | Input | Output | Context | Quant | Uptime 24h | Throughput |
|---|---|---|---|---|---|---|
| DeepInfracheapest | $0.080 | $0.280 | 41K | fp8 | 99.7% | — |
| Nebius | $0.100 | $0.300 | 41K | fp8 | 99.5% | — |
| Alibaba | $0.104 | $0.416 | 131K | — | 0.0% | — |
| SiliconFlow | $0.140 | $0.570 | 131K | fp8 | 87.4% | — |
| Groq | $0.290 | $0.590 | 131K | — | 100.0% | — |
Cheaper models in the same class
Models scoring within 4 points of Qwen3 32B on the Intelligence Index, but with a lower output price.
FAQ
How much does the Qwen3 32B API cost?
$0.080 per 1M input tokens and $0.280 per 1M output tokens. A typical workload of 1M input + 300K output tokens costs about $0.16.
Is Qwen3 32B free?
No. It is a paid model starting at $0.080 per 1M input tokens, though some providers offer trial credits.
Which provider is cheapest for Qwen3 32B?
DeepInfra at $0.080 input / $0.280 output per 1M tokens (fp8 quantization).
Can I self-host Qwen3 32B?
Yes — weights are published as Qwen/Qwen3-32B on Hugging Face, so you can run it on your own hardware.