Qwen 3.7 Max
qwen-3-7-maxqwen-3.7-maxqwen3.7-max- 🎯 Largest model in Alibaba's Qwen 3.7 series
- 📏 Massive 1,000,000-token context window
- 🧠 Deep "thinking" reasoning mode built in
- 🔧 Function calling plus prompt caching support
- 💻 Tuned for programming and productivity tasks
- 🌍 Strong on long-running autonomous agent workflows
Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research, developing the Qwen…
Explore 33 more models by Alibaba Group →Qwen 3.7 Max sits at the top of Alibaba's Qwen 3.7 lineup as the largest and most capable text model in that series. Released in May 2026, it pairs a deep "thinking" reasoning mode with function calling, web search, and prompt caching, all wrapped around an expansive one-million-token context window that comfortably handles entire codebases, long documents, and extended multi-step sessions. It is a text-only interface, focused on language and reasoning rather than vision or image generation.
Within Alibaba's broad catalogue, the Max tier is the flagship reasoning workhorse, distinct from the lighter [[sibling:qwen-3-7-plus|Qwen 3.7 Plus]] and from the many Qwen image, video (Wan, HappyHorse), embedding, and TTS models the provider also ships. Compared with earlier general-purpose releases like [[sibling:qwen3-5-397b-a17b|Qwen 3.5 397B]], it pushes further on autonomous agent reliability and long-horizon task completion.
It is best suited to demanding programming work, office and productivity automation, and agent pipelines that need to plan, call tools, and stay coherent across very long contexts.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | 83 | #2 | $1.242 | $0.266 | $3.717 | chat,premium,open-source,reasoning,long-context,agents | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 68 | #1 | $0.81 | $0.081 | $2.415 | agents,chat,cheap,code,coding,developer,frontier,function-calling,reasoning,research,tasks,tools,web-search | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 37 | gated | $2.4004 | $0.243 | $7.1568 | chat,coding,json,math,tools | — |
| D5V1N2 0xd5e7…7be0 | 26 | gated | $1.28 | $0.23 | $3.85 | chat,coding,reasoning,research,large-context,router,fallback,qwen | openai-chat-completions |
| antseed-neon-puma-944e 0x6650…944e | 3 | gated | $0.9207 | $0.27 | $2.7451 | chat,coding,math | openai-chat-completions |
| antseed-opal-badger-2580 0xc85d…2580 | 1 | gated | $1.35 | $1.35 | $4.025 | chat | openai-chat-completions |
| Apex TEE Test 0xe672…7955 | 0 | gated | $0.552 | $0.552 | $1.704 | chat,premium,open-source | openai-chat-completions |
| Leftermute 0x388b…5389 | 0 | gated | $0.4646 | $0.4646 | $1.3938 | chat,coding,json,tools | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.