Qwen 3.7 Plus
qwen-3-7-plusqwen-3.7-plusqwen3.7-plus- 🎯 Alibaba's latest flagship reasoning model
- 📏 Massive 1M-token context window
- 🧠 Mixed reasoning across code, logic, knowledge
- 👁️ Multimodal vision input support
- 🔧 Function calling plus web search
- 🌍 Strong coding and general-knowledge performance
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 34 more models by Alibaba Group →Qwen 3.7 Plus is Alibaba's flagship reasoning model on the platform, released in June 2026 as the newest entry in the Qwen "Plus" line. It pairs mixed reasoning — switching between fast direct answers and deeper chain-of-thought — with vision input, function calling, and built-in web search, making it a versatile generalist tuned for coding, complex problem-solving, and broad knowledge tasks. Its standout spec is an enormous one-million-token context window, enough to ingest entire codebases, long document sets, or extended multi-turn sessions in a single pass.
Within Alibaba's lineup, Qwen 3.7 Plus succeeds Qwen 3.6 Plus Uncensored (April 2026) as the current Plus-tier incumbent, and sits alongside Qwen 3.7 Max, the larger Max-tier sibling from May 2026. It also complements the broader Qwen ecosystem on the platform, which spans dense text models like Qwen 3.6 27B, vision variants, embeddings, and image generators.
Best suited for users who need a single agentic model handling long-context reasoning, software development, tool use, and multimodal queries without juggling specialized endpoints.
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 | 71.90 | #1 | $0.23 | $0.02 | $0.90 | chat,open-source,coding,multimodal | openai-chat-completions |
| Venice.ai Proxy 0x1f22…18c9 | 70.55 | #2 | $0.25 | $0.025 | $1.00 | chat,reasoning,coding,vision,video,multimodal,web-search | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 50.00 | gated | $0.4373 | $0.0437 | $1.7493 | — | — |
| antseed-neon-puma-944e 0x6650…944e | 35.09 | gated | $0.1705 | $0.05 | $0.682 | chat,coding,math | openai-chat-completions |
| Leftermute 0x388b…5389 | 28.39 | gated | $0.1162 | $0.1162 | $0.4646 | chat,coding,json,tools | openai-chat-completions |
| Apex TEE Test 0xe672…7955 | 15.22 | gated | $0.225 | $0.225 | $0.90 | chat,open-source,coding | 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 = buyer trust score (0-100, the AntSeed SDK's own formula). "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.