qwen
Qwen: Qwen3 32B
qwen/qwen3-32b
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
qwen/qwen3-32b is a dense, text-only Qwen3 model described by its documentation as supporting a switchable thinking mode for harder reasoning and a non-thinking mode for more efficient dialogue. The model card reports broad multilingual coverage, instruction following, translation, and tool-calling/agent features. OpenRouter lists API support for tools, structured outputs, sampling controls, and reasoning options, plus catalog benchmark indices for coding and agentic tasks. Those measurements and vendor claims are not a complete independent evaluation, so suitability should be verified on target workloads.[1][2]
Strengths
- Vendor documentation describes a switchable reasoning mode, with thinking enabled by default and prompt-level controls.[2]
- The model card reports broad multilingual instruction-following and translation coverage.[2]
- OpenRouter lists tool use, structured output, seed, sampling, and reasoning-related API parameters.[1]
Limitations
- Long-context use beyond the native window requires YaRN configuration, and static scaling may hurt shorter inputs.[2]
- Thinking mode requires non-greedy sampling; the vendor warns that greedy decoding can cause degradation and repetition.[2]
- The pack contains only a catalog and vendor documentation; benchmark fields lack methodology, so workload-specific validation remains necessary.[1][2]
Where to use it
- Consider for coding, mathematics, or multi-step problem solving when explicit reasoning is desirable.[1][2]
- Potentially suitable for tool-using assistants and workflow agents; test tool selection and orchestration reliability.[1][2]
- May fit multilingual chat, drafting, or translation prototypes, with language-by-language evaluation.[2]
Sources
- [1] OpenRouter catalog · Qwen: Qwen3 32BSources checked: Nov 13, 2026
- [2] Model documentation · Qwen: Qwen3 32BSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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...
Specifications
- Model ID
- qwen/qwen3-32b
- Canonical ID
- qwen/qwen3-32b-04-28
- Creator
- qwen
- Added to OpenRouter
- 28.04.2025
- Context length
- 131,072
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.080 / out $0.280
- Knowledge cutoff
- 31.03.2025
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| Coding | CC — below the B band | — |
| Agents | CC — below the B band | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 15.3 | CC — below the B band | 13.11.2026 |
| Artificial Analysis | Agentic index | 0.9 | CC — below the B band | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| DeepInfrafp8 | 40,960 | $0.080 | $0.280 | — | — | 100% |
| Tenstorrentfp8 | 20,000 | $0.140 | $0.400 | — | — | 100% |
| SiliconFlowfp8 | 131,072 | $0.140 | $0.570 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.