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Qwen3.7 Max

Qwen3.7 is a next‑generation flagship model designed for the agent‑centric era, with its core strengths lying in the breadth and depth of its agent‑level capabilities: it excels at programming, office and productivity tasks, and long‑term autonomous execution.

text → text · made by Alibaba

$2.5→$7.5per Mtok in / out
Alibaba · 12 sellers

Sold by 14 ways

SellerLaneRate
Alibaba apistandard$2.5per Mtok in$7.5per Mtok outalibabacloud.com · read 2026-08-24
Novita AI aggregatorstandard$1.25per Mtok in$3.75per Mtok out$0.25per Mtok cachedapi.novita.ai · read 2026-08-25
ElectronHub aggregatorstandard$1.48per Mtok in$4.42per Mtok outapi.electronhub.ai · read 2026-10-31
Nous Research aggregatorstandard$1.48per Mtok in$4.42per Mtok out$0.29per Mtok cached$1.84per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12
OpenRouter 2 ways$1.48per Mtok in$4.42per Mtok out$0.29per Mtok cached$1.84per Mtok cache write
OpenRouter aggregatorstandard$1.48per Mtok in$4.42per Mtok out$0.29per Mtok cached$1.84per Mtok cache writeopenrouter.ai · read 2026-08-24
OpenRouter aggregatoralibaba/us-east-1$2per Mtok in$6per Mtok out$0.4per Mtok cachedopenrouter.ai · read 2026-10-10
OpenRouter aggregatornot on the seller's list todayatlas-cloud/fp8$2.5per Mtok in$7.5per Mtok out$0.5per Mtok cachedopenrouter.ai · read 2026-09-27
AtlasCloud aggregatorstandard$2.5per Mtok in$7.5per Mtok out$0.5per Mtok cachedapi.atlascloud.ai · read 2026-09-20
DeepInfra aggregatorstandard$2.5per Mtok in$7.5per Mtok outapi.deepinfra.com · read 2026-08-25
Requesty aggregatoralibaba$2.5per Mtok in$7.5per Mtok out$0.25per Mtok cachedrouter.requesty.ai · read 2026-08-28
Together AI aggregatorstandard$2.5per Mtok in$7.5per Mtok out$0.5per Mtok cachedmodels.dev · read 2026-10-31
Vercel AI Gateway aggregatorstandard$2.5per Mtok in$7.5per Mtok out$0.5per Mtok cached$3.12per Mtok cache writeai-gateway.vercel.sh · read 2026-08-25
Venice AI aggregatorstandard$2.7per Mtok in$8.05per Mtok out$0.27per Mtok cached$3.35per Mtok cache writemodels.dev · read 2026-10-31
PPIO aggregatorstandard$6per Mtok in$18per Mtok outapi.ppinfra.com · read 2026-10-31

Measured 39 standings

PlaceBoardMetricScore
7thof 35Swe bench verified — Epoch AImean_score (max)77.273
13thof 102Simplebench — Epoch AIScore (AVG@5) (max)0.704
20thof 23Gbaeval — Epoch AIOverall score (max)0.004
22ndof 93Simpleqa verified — Epoch AImean_score (max)55.767
23rdof 36Design Arena · htmlslides (agents)Elo1055
24thof 28Ebr bench — Epoch AImean_score (max)9.524
25thof 50Design Arena · godotgamedev (agents)Elo1187
27thof 41Design Arena · python-pptxslides (agents)Elo1149
30thof 61Design Arena · fullstack (agents)Elo1191
30thof 34Design Arena · pdf (agents)Elo1088
31stof 68Design Arena · webapps (agents)Elo1196
32ndof 39Design Arena · agenticgamedev (agents)Elo1110
32ndof 142Mystery game puzzles — Epoch AImean_score (max)32
34thof 39Design Arena · blender3d (agents)Elo996
35thof 54Design Arena · androidnative (agents)Elo1155
36thof 414LMArena · TextScore (Elo) (max)1475
37thof 93Design Arena · asciiart (models)Elo1208
37thof 78Frontiermath tier 4 v2 — Epoch AImean_score (max)34.146
38thof 114Design Arena · svg (models)Elo1214
39thof 154Design Arena · dataviz (models)Elo1276
39thof 326GPQA Diamondmean_score (max)90.909
40thof 169Design Arena · website (models)Elo1274
40thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (max)64.561
42ndof 150Design Arena · 3d (models)Elo1263
44thof 162Design Arena · gamedev (models)Elo1265
44thof 68Design Arena · mobileapps (agents)Elo1156
46thof 163Design Arena · codecategories (models)Elo1274
46thof 84Proofbench — Epoch AIAccuracy (max)26
47thof 132Ale bench — Epoch AIPerformance (max)1189.4
48thof 306OTIS Mock AIME 2024-2025mean_score (max)95.556
50thof 135Webdev arena — Epoch AIArena Score (max)1517.12
52ndof 163Artificial Analysis · Coding IndexIndex66
53rdof 157Design Arena · uicomponent (models)Elo1264
60thof 131Artificial Analysis · Agentic IndexIndex22.5
70thof 235Dtbench — Epoch AIAccuracy (max)92.27
80thof 154Chess puzzles — Epoch AImean_score (max)26
96thof 197Lmca — Epoch AIScore (max)44.02
103rdof 260Critpt — Epoch AIAccuracy (max)13.429
125thof 235Scicode — Epoch AIScore (max)49.537

About

Qwen3.7 Max — a text model from Alibaba, sold by 12 companies from $1.25 in and $3.75 out per million tokens, placed 36th of 414 on LMArena · Text.

It takes text and returns text, with a context window of 1,000,000 tokens. It was published in May 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning. Twelve companies sell it. The cheapest is $1.25 in and $3.75 out per million tokens at Novita AI. Beside the standard rate there are regional and separately routed lanes. It has been measured on 39 boards, and stands best at 36th of 414 on LMArena · Text.

Every current figure

Maker
Alibaba
Register
model
Takes
text
Returns
text
Context
1,000,000 tokens
Longest answer
500,000 tokens
Published
May 2026
Licence
not read
Sellers
12
Price
$1.25 in and $3.75 out per million tokens — Novita AI
Boards
39
Best place
36th of 414 — LMArena · Text

Known as 4 names

qwen3.7-max-previewqwen3.7-maxqwen/qwen3.7-maxalibaba/qwen3.7-max