Qwen3 32B
alibaba/qwen3-32bBy Alibaba (Qwen) · family: qwen · released 2025-04 · knowledge: 2025-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capabilities
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding62
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability10/10
Agents70
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit10/15
- Provider availability10/10
JSON / structured output43
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume13/20
Cost efficiency49
- Headline price (log-scaled)49/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $4.90 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $9.80 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $2.80 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $8.40 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $10.08 $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Pricing detail
Recommended pricing from alibaba · qwen3-32b
Cheapest provider: iflowcn · Unknown input + Unknown output
Available on 19 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| Alibaba alibaba | qwen3-32b | $0.700 | $2.80 | 131K | 2025-04 |
| Alibaba (China) alibaba-cn | qwen3-32b | $0.287 | $1.15 | 131K | 2025-04 |
| Amazon Bedrock amazon-bedrock | qwen.qwen3-32b-v1:0 | $0.150 | $0.600 | 16K | 2025-09-18 |
| Groq groq | qwen/qwen3-32b | $0.290 | $0.590 | 131K | 2024-12-23 |
| Abacus abacus | Qwen/Qwen3-32B | $0.090 | $0.290 | 128K | 2025-04-29 |
| SiliconFlow (China) siliconflow-cn | Qwen/Qwen3-32B | $0.140 | $0.570 | 131K | 2025-04-30 |
| Jiekou.AI jiekou | qwen/qwen3-32b-fp8 | $0.100 | $0.450 | 41K | 2026-01 |
| iFlow iflowcn | qwen3-32b | Unknown | Unknown | 128K | 2024-12-01 |
| NovitaAI novita-ai | qwen/qwen3-32b-fp8 | $0.100 | $0.450 | 41K | 2025-04-29 |
| Qiniu qiniu-ai | qwen3-32b | Unknown | Unknown | 40K | 2025-08-05 |
| Kilo Gateway kilo | qwen/qwen3-32b | $0.080 | $0.240 | 41K | 2024-12-01 |
| Nebius Token Factory nebius | Qwen/Qwen3-32B | $0.100 | $0.300 | 128K | 2026-01-28 |
| Helicone helicone | qwen3-32b | $0.290 | $0.590 | 131K | 2025-04-28 |
| DigitalOcean digitalocean | alibaba-qwen3-32b | $0.250 | $0.550 | 131K | 2025-04-30 |
| OVHcloud AI Endpoints ovhcloud | qwen3-32b | $0.090 | $0.250 | 33K | 2025-07-16 |
| Cortecs cortecs | qwen3-32b | $0.099 | $0.330 | 16K | 2025-04-29 |
| SiliconFlow siliconflow | Qwen/Qwen3-32B | $0.140 | $0.570 | 131K | 2025-04-30 |
| LLM Gateway llmgateway | qwen3-32b-fp8 | $0.100 | $0.100 | 131K | 2025-04-28 |
| LLM Gateway llmgateway | qwen3-32b | $0.700 | $2.80 | 131K | 2025-04 |
Data inconsistencies across providers
- context_window varies: 128000, 131000, 131072, 16384, 32768, 40000, 40960
- release_date varies (span 423d): 2024-12-01, 2024-12-23, 2025-04, 2025-04-28, 2025-04-29, 2025-04-30, 2025-07-16, 2025-08-05, 2025-09-18, 2026-01, 2026-01-28
Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.
Frequently asked questions
How much does Qwen3 32B cost?
Qwen3 32B costs $0.700 per 1M input tokens and $2.80 per 1M output tokens, sourced from alibaba. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen3 32B?
Qwen3 32B has a context window of 131K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3 32B support tool calling?
Yes. Qwen3 32B supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Qwen3 32B support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 32B in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.
Can Qwen3 32B accept image input?
No. Qwen3 32B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3 32B open-weight?
Yes. Qwen3 32B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Qwen3 32B?
If Qwen3 32B doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 235B A22B Instruct 2507, Qwen3-Coder 480B-A35B Instruct. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Alibaba (Qwen) models
- Qwen3.5 397B-A17B$0.60 in / $3.60 out
- Qwen3 235B A22B Instruct 2507$0.10 in / $0.10 out
- Qwen3-Coder 480B-A35B Instruct$1.50 in / $7.50 out
- Qwen3-235B-A22B-Thinking-2507$0.10 in / $0.10 out
- Qwen3-Next 80B-A3B Instruct$0.50 in / $2.00 out
Capability lists this model is in
Last updated:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.