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Qwen3.5 Plus Released 2026-02-16

Alibaba chat code reasoning tools
Input$0.4/M
Output$2.4/M
Cache read$0.115/M
Context1M
vs GPT-4o~92% 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:$0.2005/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 Qwen3.5 Plus 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="qwen3.5-plus",
    messages=[{"role": "user", "content": "Summarize this diff"}],
    reasoning_effort="medium",
)
print(resp.choices[0].message.content)

About Qwen3.5 Plus

Early-fusion multimodal training
Adaptive tool-calling modes
1M-token context window by default

Qwen3.5 Plus is the flagship hosted tier of the Qwen3.5 generation, the Qwen team's step "Towards Native Multimodal Agents." Built on the Qwen3-Next architecture pairing gated linear attention with sparse Mixture-of-Experts, the generation uses early-fusion multimodal training and emphasizes agentic capability across reasoning, coding, and tool use, with adaptive tool-calling modes.

  • The hosted Plus tier provides a 1M-token context window by default, suited to large-document and long-horizon agent workloads.
  • Synthorai routes Qwen3.5 Plus traffic through its OpenAI-compatible API.

Specs & limits

Max output (vendor spec)65,536
Modalitiestext + image + video → text
Parameters397B total · 17B active (MoE)
Featurestools · structured_output · streaming · vision · batch · reasoning · parallel_tool_calls · caching
NotableCloud-hosted counterpart of Qwen3.5-397B-A17B (native VLM, Gated-Delta linear attention + sparse MoE); 1M-token context by default, built-in tools, 201 languages; hybrid thinking on by default.
Prompt cachingautomatic + explicit · TTL explicit: 5m, reset on hit

per Alibaba official docs ↗

FAQ

Is the Qwen3.5 Plus API free to try?

Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.4/M input tokens, that credit alone covers roughly 312 requests of ~8K tokens against Qwen3.5 Plus.

What is Qwen3.5 Plus best at?

Early-fusion multimodal training, plus adaptive tool-calling modes and 1M-token context window by default. See the About section for the full picture from the vendor's own release notes.

How much does Qwen3.5 Plus cost?

Qwen3.5 Plus costs $0.4 per million input tokens and $2.4 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.115/M.

Does Qwen3.5 Plus support prompt caching?

Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.115/M vs $0.4/M uncached (TTL explicit: 5m, reset on hit). Prompt caching guide →

How do I get access to Qwen3.5 Plus?

Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="qwen3.5-plus", and you're done. One API key covers every model on the gateway.

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