KI‑Modell‑Intelligenz

Qwen3.7 Max

alibaba/qwen3-7-max

Von Alibaba (Qwen) · Familie: qwen · veröffentlicht 2026-05-21

$2.50
Eingabe / 1 Mio. Tokens
$7.50
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 Calling✓ Reasoning? Strukturierte Ausgabe✗ Anhänge✗ Offene Gewichte✓ Temperatur-Steuerung
Modalitäten: Eingabe text · 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.

Coding74
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability4/10
Agents69
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency42
  • Headline price (log-scaled)37/95
  • Has prompt-cache pricing5/5
Long context90
  • Context window (100K → 2M)80/90
  • Has published price for full window10/10
Production-readiness76
  • Number of independent providers20/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • 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
$16.25
$0.02 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
$32.50
< $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
$8.75
< $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
$27.50
$0.03 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$34.50
$0.03 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 · qwen3.7-max

$2.50
Eingabe
$7.50
Ausgabe
$0.500
Cache-Lesen
$3.13
Cache-Schreiben

Bei 4 Anbietern verfügbar

AnbieterAnbieter-Modell-IDEingabe / 1MAusgabe / 1MKontextVeröffentlicht
Alibaba
alibaba
qwen3.7-max$2.50$7.501M2026-05-21
OpenRouter
openrouter
qwen/qwen3.7-max$2.50$7.501M2026-05-21
Vercel AI Gateway
vercel
alibaba/qwen3.7-max$2.50$7.50991K2026-05-21
Together AI
togetherai
Qwen/Qwen3.7-Max$2.50$7.501M2026-05-21

Datenunterschiede zwischen Anbietern

  • context_window varies: 1000000, 991000
  • 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 Qwen3.7 Max cost?

Qwen3.7 Max costs $2.50 per 1M input tokens and $7.50 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 Qwen3.7 Max?

Qwen3.7 Max 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 Qwen3.7 Max support tool calling?

Yes. Qwen3.7 Max 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 Qwen3.7 Max support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3.7 Max in our data source. Verify with Alibaba (Qwen)'s official documentation before relying on it in production.

Can Qwen3.7 Max accept image input?

No. Qwen3.7 Max only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3.7 Max open-weight?

No. Qwen3.7 Max 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 Qwen3.7 Max?

If Qwen3.7 Max doesn't fit, consider Qwen3.5 397B-A17B, Qwen3 32B, Qwen3-Coder 480B-A35B Instruct. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

More Alibaba (Qwen) models

Capability lists this model is in

See also

Zuletzt aktualisiert:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.