qwen
Qwen: Qwen3.7 Plus
qwen/qwen3.7-plus
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Qwen: Qwen3.7 Plus (qwen/qwen3.7-plus) appears in the OpenRouter catalog as a cost-effective entry in Alibaba's Qwen3.7 series, under canonical snapshot qwen/qwen3.7-plus-20260602. Per the catalog, it accepts text and image input, returns text, advertises a one-million-token context window, and enables optional reasoning by default with no selectable effort levels. Tool calling and structured outputs are exposed as request parameters. Catalog-aggregated arena and Artificial Analysis results offer only partial performance signal, and no independent model card was included in this source pack.[1]
Strengths
- According to the OpenRouter catalog, it takes text and image input and returns text, with an advertised one-million-token context window.[1]
- Optional reasoning is enabled by default, and the listing exposes tool calling, structured outputs and standard sampling parameters.[1]
- The catalog description positions it as a cost-effective option within Alibaba's Qwen3.7 series.[1]
Limitations
- Evidence comes only from the OpenRouter catalog; no independent model card, license terms, knowledge cutoff or safety documentation was available in this source pack, so capabilities should be validated on real workloads.[1]
- Available performance data is narrow: design-arena results cover front-end and visual generation tasks only, and Artificial Analysis reports a substantially lower agentic index than coding index.[1]
- The catalog lists no configurable reasoning effort levels, and the vendor description in the source is truncated, so some claimed upgrades are unspecified.[1]
Where to use it
- A candidate for cost-sensitive, high-volume text workloads that mix image inputs and benefit from long context, subject to workload validation.[1]
- Worth evaluating for tool-using or structured-output pipelines where optional default reasoning is acceptable.[1]
- Plausible fit for front-end, data-visualization or UI generation tasks, the categories covered by the catalog's arena data, pending independent testing.[1]
Sources
- [1] OpenRouter catalog · Qwen: Qwen3.7 PlusSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Specifications
- Model ID
- qwen/qwen3.7-plus
- Canonical ID
- qwen/qwen3.7-plus-20260602
- Creator
- qwen
- Added to OpenRouter
- 03.06.2026
- Context length
- 1,000,000
- Modality
- text+image->text
- Input modalities
- text, image
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.320 / out $1.28
- Knowledge cutoff
- —
- 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 | BB — next 30% of the cohort | — |
| Agents | BB — next 30% of the cohort | 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 | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 55.9 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 17.5 | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 48.1% · rank 44 | 1,221Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 41% · rank 53 | 1,134Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 50% · rank 37 | 1,260Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 51.4% · rank 23 | 1,276Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 48.7% · rank 39 | 1,251Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 47% · rank 27 | 1,202Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 49.1% · rank 40 | 1,256Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 50.3% · rank 34 | 1,262Elo | AA — next 20% of the cohort | 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) |
|---|---|---|---|---|---|---|
| Alibaba | 1,000,000 | $0.320 | $1.28 | — | — | 100% |
| Alibaba | 1,000,000 | $0.320 | $1.28 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.