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Qwen3.6 Flash Released 2026-04-16

Alibaba chat code tools
Input$0.25/M
Output$1.5/M
Cache read$0.05/M
Context256K
vs GPT-4o~95% cheaper

Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.11/M. Implicit context cache is automatic; an explicit cache_control mode offers deeper discounts (1,024-token minimum blocks, 5-minute TTL that resets on hit). Per-model cached-read prices are in the pricing table.

Use Qwen3.6 Flash in 30 seconds

OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions

from openai import OpenAI

client = OpenAI(
    base_url="https://synthorai.io/v1",
    api_key="sk-syn-...",
)

resp = client.chat.completions.create(
    model="qwen3.6-flash",
    messages=[{"role": "user", "content": "Summarize this diff"}],
)
print(resp.choices[0].message.content)

About Qwen3.6 Flash

Enhanced agentic coding to repository level
Preserve_thinking carries reasoning across turns
Trades some depth for lower latency

Qwen3.6 Flash is the fast, economical tier of the Qwen3.6 generation, which the Qwen team framed as a move "Towards Real World Agents." Versus Qwen3.5, the generation's official announcement highlights drastically enhanced agentic coding from frontend work to repository-level tasks, improved multimodal perception and reasoning accuracy, and a new preserve_thinking option that carries reasoning content across turns to keep agent decisions consistent while reducing token use.

  • Flash trades some depth for lower latency and cost.
  • Synthorai serves it over the OpenAI-compatible endpoint.

Specs & limits

Max output (vendor spec)32,768
Modalitiestext + image + video → text
Featurestools · structured_output · streaming · vision · batch · reasoning · parallel_tool_calls · caching
NotableNative vision-language Flash model, officially a significant upgrade over Qwen3.5-Flash; Qwen3.6 generation retains thinking context across conversation turns.
Prompt cachingautomatic + explicit · TTL explicit: 5m, reset on hit

per Alibaba official docs ↗

FAQ

Is the Qwen3.6 Flash API free to try?

Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.25/M input tokens, that credit alone covers roughly 500 requests of ~8K tokens against Qwen3.6 Flash.

What is Qwen3.6 Flash best at?

Enhanced agentic coding to repository level, plus preserve_thinking carries reasoning across turns and trades some depth for lower latency. See the About section for the full picture from the vendor's own release notes.

How much does Qwen3.6 Flash cost?

Qwen3.6 Flash costs $0.25 per million input tokens and $1.5 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.05/M.

Does Qwen3.6 Flash support prompt caching?

Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.05/M vs $0.25/M uncached (TTL explicit: 5m, reset on hit). Prompt caching guide →

How do I get access to Qwen3.6 Flash?

Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="qwen3.6-flash", and you're done. One API key covers every model on the gateway.

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