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Model

Qwen3.7 Max

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

34 providers · 36 listingsreleased closed weights
$0.825
lowest input /M · Merge Gateway
$2.48
lowest output /M · Merge Gateway
1.06M
context window
500K
max output

Compare providers (sorted by listed input price)

32 of 34 providers publish a price for Qwen3.7 Max. The cheapest full-context option is Merge Gateway at $0.825/$2.48 per M — 67% below Alibaba's own price. Listed prices span 3.9× for identical weights.

36 listings
Cache read /MCache write /MCapabilitiesStatus
Merge Gateway
qwen/qwen3.7-max
$0.825$2.48$0.1651Mreasoningtoolsstructuredno visionMay 21, 2026
LLM Gatewayvariant
novita/qwen3.7-max
$1.25$3.75$0.251Mreasoningtoolsno structuredno visionMay 21, 2026
OrcaRouter
qwen/qwen3.7-max
$1.25$3.75$0.25$1.561Mreasoningtoolsno structuredno visionMay 21, 2026
NovitaAI
qwen/qwen3.7-max
$1.25$3.75$0.25$1.561Mreasoningtoolsstructuredno visionMay 27, 2026
Pioneer
qwen3.7-max
$1.25$3.75$0.25$1.56991Kreasoningtoolsno structuredno visionMay 21, 2026
DevPass (LLM Gateway)
qwen3.7-max
$1.25$3.75$0.25$3.131Mreasoningtoolsno structuredno visionMay 21, 2026
Cloudflare AI Gateway
alibaba/qwen3.7-max
$1.25$3.75$0.251Mreasoningtoolsno structuredno visionMay 21, 2026
Kilo Gateway
qwen/qwen3.7-max
$1.25$3.75$0.125$1.561Mreasoningtoolsstructuredno visionMay 21, 2026
Together AI
Qwen/Qwen3.7-Max
$1.25$3.75$0.1251Mno reasoningtoolsno structuredno visionJul 2, 2026
OpenRouter
qwen/qwen3.7-max
$1.48$4.42$0.295$1.841Mreasoningtoolsstructuredno visionMay 21, 2026
AIHubMix
qwen3.7-max
$1.69$5.07$0.169$2.11991Kreasoningtoolsstructuredno visionMay 21, 2026
Ofoxvariant
qwen/qwen3.7-max
$1.71$5.14$0.17$2.141.06Mreasoningtoolsno structuredno visionMay 21, 2026
302.AI
qwen3.7-max
$1.80$5.301Mreasoningtoolsno structuredno visionMay 21, 2026
CrossModel
qwen/qwen3.7-max
$1.88$5.63$0.375$2.351Mreasoningtoolsstructuredno visionMay 21, 2026
NanoGPT
qwen3.7-max
$2.50$7.50$0.5$3.131Mreasoningtoolsno structuredno visionMay 21, 2026
Impossibl
qwen/qwen3.7-max
$2.50$7.50$0.51Mreasoningtoolsno structuredno visionMay 21, 2026
LLM Gatewayvariant
alibaba/qwen3.7-max
$2.50$7.50$0.5$3.131Mreasoningtoolsno structuredno visionMay 21, 2026
Alibaba Coding Plan (China)
qwen3.7-max
$2.50$7.50$0.5$3.131Mreasoningtoolsno structuredno visionMay 21, 2026
Alibaba (China)
qwen3.7-max
$2.50$7.50$0.5$3.131Mreasoningtoolsno structuredno visionMay 21, 2026
Charm Hyper
qwen3.7-max
$2.50$7.50$0.51Mreasoningtoolsno structuredno visionJul 22, 2026

Best price history

Daily lowest published price across live providers. A lower line is better for the buyer.

Best input /M
$0.825unchanged
Best output /M
$2.48unchanged
Provider coverage
36
32 at the start · 24 snapshots

Published best prices are unchanged.

24 daily snapshots collected from Aug 21, 2026 through Sep 14, 2026. A price chart will appear after the first real move.

Price badge

Current price badge for Qwen3.7 Max
![Qwen3.7 Max price](https://www.vaanalytics.in/badge/alibaba/qwen3.7-max.svg)
https://www.vaanalytics.in/badge/alibaba/qwen3.7-max.svg

Live SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.

Recent changes

Changelog →
  • repricedvia ofox · Sep 13, 2026
    • input: $2.50 → $1.71
    • output: $7.50 → $5.14
    • cache_read: $0.5 → $0.17
    • cache_write: $3.13 → $2.14
  • new modelvia ofox · Sep 11, 2026
  • new modelvia 302ai · Sep 9, 2026
  • capabilityvia merge-gateway · Sep 5, 2026
    • structured_output: false → true
  • repricedvia crossmodel · Aug 31, 2026
    • input: $1.50 → $1.88
    • output: $4.50 → $5.63
    • cache_read: $0.3 → $0.375
    • cache_write: $1.88 → $2.35
  • new modelvia orcarouter · Aug 28, 2026

Benchmarks

Scores a lab published about its own model are claims, not measurements. Rankings elsewhere on this site use independently measured scores only.

Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.