Qwen3.5-Flash model profile
Evidence snapshot:
Qwen3.5-Flash is a Alibaba Qwen model profile with a 1,000,000-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for reasoning controls, structured output, text generation, tool calling, video input.
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
Qwen3.5-Flash is a reference profile: Alibaba Qwen publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
Qwen3.5-Flash is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.
Qwen3.5-Flash accepts text, image, and video and returns text. The snapshot records reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.
The dated reference snapshot lists $0.065 input and $0.26 output per million tokens.
No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.
Qwen3.5-Flash ranked #86 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.
Profile facts
- Profile type
- Model research profile
- Provider or publisher
- Alibaba Qwen
- Context window
- 1,000,000 tokens
- Snapshot date
- 2026-09-06
- Knowledge cutoff
- Not disclosed
- Reference catalog ID
- qwen/qwen3.5-flash-02-23
When to pick Qwen3.5-Flash
Qwen3.5-Flash is a reference profile: Alibaba Qwen publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.
- Reach for it when cost is the binding constraint. At $0.065 in and $0.26 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot.
- Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
- Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
- Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
Context, modalities, and identity
Qwen3.5-Flash accepts text, image, and video and returns text. The snapshot records reasoning controls, structured output, text generation, tool calling, video input, and vision as capabilities or interfaces.
- Provider or publisher
- Alibaba Qwen
- Context window
- 1,000,000 tokens
- Maximum output
- 65,536 tokens
- Input modalities
- text, image, and video
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Model overview
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these models deliver a leap forward in performance for both pure text and multimodal tasks, offering fast response times while balancing inference speed and overall performance.
- Reference model ID
- qwen/qwen3.5-flash-02-23
- Canonical version
- qwen/qwen3.5-flash-20260224
- Hugging Face ID
- Not separately documented
Capabilities and supported controls
Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.
- Supported parameters
- frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
- reasoning controls
- structured output
- text generation
- tool calling
- video input
- vision
Dated pricing snapshot
The dated reference snapshot lists $0.065 input and $0.26 output per million tokens.
These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.
- Price date
- 2026-09-06
- Input
- $0.065 per 1M tokens
- Cached input
- No verified rate
- Output
- $0.26 per 1M tokens
Provider routes, performance, and uptime
The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.
- Active provider endpoints
- 1
- Best p50 latency
- 0.52 s
- Best p50 throughput
- 35 tok/s
- Availability with routing
- 95.12% over the sampled window
- Availability without routing
- 95.12% over the sampled window
- Performance date
- 2026-09-06
| Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) |
|---|---|---|---|---|---|---|---|---|
| Alibaba Cloud Int. | unknown | $0.065 / 1M | $0.26 / 1M | No verified rate | 1,000,000 tokens | 0.52 s | 35 tok/s | 100.00% |
Benchmark evidence and limitations
No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated.
Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Popularity and market context
Qwen3.5-Flash ranked #86 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
- Third-party catalog rank
- #86
- Global market share
- Not inferred
- Observation date
- 2026-09-06
Frequently asked questions
When should I use Qwen3.5-Flash?
Qwen3.5-Flash is a reference profile: Alibaba Qwen publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when cost is the binding constraint: At $0.065 in and $0.26 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot. Reach for it when the input includes images: The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
What is Qwen3.5-Flash?
Qwen3.5-Flash is a Alibaba Qwen model profile with a 1,000,000-token context window. The dated catalog snapshot records text, image, video modalities and interfaces for reasoning controls, structured output, text generation, tool calling, video input.
What context window does Qwen3.5-Flash have?
The dated profile lists 1,000,000 tokens of context and up to 65,536 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for Qwen3.5-Flash?
No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.
Is Qwen3.5-Flash available through Kendr?
This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.
Does the popularity rank represent Qwen3.5-Flash's global market share?
Qwen3.5-Flash ranked #86 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. No global market-share percentage is inferred when the source does not publish one.
Sources and evidence dates
- Qwen3.5-Flash third-party catalog record (catalog, checked 2026-09-06)
- Third-party model catalog methodology (methodology, checked 2026-09-06)
- Alibaba Qwen official model documentation (primary, checked 2026-09-06)