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Model detail

qwen3.5-flash

Provided by Alibaba
Pay-as-you-go

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.

Model specs

Model ID
qwen3.5-flash
Context length
1M
Max output
65.536K
I/O modalities
Released
2026-02

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • OpenAI-compatible /v1/chat/completions POST

03

Pricing

Flat rate, unit: /1M Tokens

Input

$0.1000 /1M Tokens

Completion

$0.4000 /1M Tokens

Cache read

$0.0100 /1M Tokens

Cache creation

$0.1250 /1M Tokens

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture

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.

What should you check before using it?

1,000,000 context, 65,536 output tokens

Alibaba model that supports reasoning, tool calling and structured output. Knowledge cutoff: 2025-04. Released 2026-02-23.

Why use it through MixRoute?

qwen3.5-flash cache reads cut repeated-prompt cost

Cached prefixes are billed at $0.0100 per 1M tokens instead of $0.1000 per 1M tokens for standard input, so repeated system prompts cost less. MixRoute serves qwen3.5-flash on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID qwen3.5-flash and re-run your integration tests.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Tool calling

qwen3.5-flash supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.
Available:

Structured output

qwen3.5-flash can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.
Available:

Streaming

qwen3.5-flash supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.
Available:

Prompt caching

qwen3.5-flash supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.
Available:

Vision input

qwen3.5-flash can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.
Available:

OpenAI SDK

Call qwen3.5-flash through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

08

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Share of the same prefix read repeatedly, up to 100%

09

FAQ

The current model record does not publish a numeric rate limit for qwen3.5-flash. Confirm the quota for your plan in the console, then run a short load test at your expected concurrency to establish the effective ceiling before production.

One endpoint, a testable decision

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs