KI‑Modell‑Intelligenz

Qwen3.6 Plus

alibaba/qwen3-6-plus

Von Alibaba (Qwen) · Familie: qwen · veröffentlicht 2026-04-02 · Wissensstand: 2025-04

$0.276
Eingabe / 1 Mio. Tokens
$1.65
Ausgabe / 1 Mio. Tokens
1M
Kontextfenster
66K
Max. Ausgabe

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Fähigkeiten

Tool CallingReasoning? Strukturierte AusgabeAnhängeOffene GewichteTemperatur-Steuerung
Modalitäten: Eingabe text, image, video · Ausgabe text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding80
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability10/10
Agents75
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output46
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume16/20
Cost efficiency60
  • Headline price (log-scaled)55/95
  • Has prompt-cache pricing5/5
Long context90
  • Context window (100K → 2M)80/90
  • Has published price for full window10/10
Vision100
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$2.21
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$4.41
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$1.38
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$3.86
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$4.30
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Preis-Details

Empfohlene Preise von alibaba · qwen3.6-plus

$0.276
Eingabe
$1.65
Ausgabe
$0.028
Cache-Lesen
$0.344
Cache-Schreiben

Günstigster Anbieter: alibaba-coding-plan · Unknown Eingabe + Unknown Ausgabe

Bei 13 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
Alibaba
alibaba
qwen3.6-plus$0.276$1.651M2026-04-02
Alibaba (China)
alibaba-cn
qwen3.6-plus$0.276$1.651M2026-04-02
Alibaba Coding Plan
alibaba-coding-plan
qwen3.6-plusUnknownUnknown1M2026-04-02
Alibaba Coding Plan (China)
alibaba-coding-plan-cn
qwen3.6-plusUnknownUnknown1M2026-04-02
OpenRouter
openrouter
qwen/qwen3.6-plus$0.325$1.951M2026-04-02
Vercel AI Gateway
vercel
alibaba/qwen3.6-plus$0.500$3.001M2026-04-02
Together AI
togetherai
Qwen/Qwen3.6-Plus$0.500$3.001M2026-04-30
OpenCode Go
opencode-go
qwen3.6-plus$0.500$3.00262K2026-04-02
ZenMux
zenmux
qwen/qwen3.6-plus$0.500$3.001M2026-03-30
Kilo Gateway
kilo
qwen/qwen3.6-plus$0.325$1.951M2025-08-26
OpenCode Zen
opencode
qwen3.6-plus$0.500$3.00262K2026-04-02
AIHubMix
aihubmix
qwen3.6-plus$0.282$1.69991K2026-05-09
LLM Gateway
llmgateway
qwen3.6-plus$0.276$1.651M2026-04-02

Datenunterschiede zwischen Anbietern

  • context_window varies: 1000000, 262144, 991000
  • release_date varies (span 256d): 2025-08-26, 2026-03-30, 2026-04-02, 2026-04-30, 2026-05-09
  • modalities varies across offerings

Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.

Frequently asked questions

How much does Qwen3.6 Plus cost?

Qwen3.6 Plus costs $0.276 per 1M input tokens and $1.65 per 1M output tokens, sourced from alibaba. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen3.6 Plus?

Qwen3.6 Plus has a context window of 1M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3.6 Plus support tool calling?

Yes. Qwen3.6 Plus supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Qwen3.6 Plus support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3.6 Plus in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.

Can Qwen3.6 Plus accept image input?

Yes. Qwen3.6 Plus accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Alibaba (Qwen)'s docs for the exact rule.

Is Qwen3.6 Plus open-weight?

No. Qwen3.6 Plus is a proprietary model — only Alibaba (Qwen) (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Qwen3.6 Plus?

If Qwen3.6 Plus doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3 235B A22B Instruct 2507. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Zuletzt aktualisiert:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.