Qwen 3.8 Flash
qwen-3-8-flashqwen-3.8-flashqwen/qwen3.8-flashqwen3.8-flash- 📏 Native 1M-token context window for long documents and codebases
- 🧠 Thinking mode can be switched on or off per request
- 👁️ Multimodal input: text, images and video
- 🔧 Function calling and agentic tool-use workflows supported
- ⚡ Speed-oriented tier of the Qwen 3.8 generation
- 🌐 Open-weight Flash-Next checkpoint published on Hugging Face
- 🎯 Positioned for coding assistance and visual understanding
- 🏢 Released by Alibaba's Qwen team, September 2026
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 51 more models by Alibaba Group →Qwen 3.8 Flash is the speed-oriented tier of Alibaba's Qwen 3.8 generation, sitting alongside the flagship Qwen 3.8 Max and the open-weight Qwen 3.8 2.4T, and above the compact Qwen 3.8 27B. Alibaba documents it as a multimodal model that pairs reasoning and generation with a natively supported million-token context window, so entire codebases, long document sets or extended conversations can be handled in a single pass.
Compared with earlier hosted tiers in the family such as Qwen 3.7 Plus, the Flash tier of this generation is built around that very long context together with multimodal input, accepting text, images and video rather than text alone. Reasoning behaviour is also more controllable: thinking mode is exposed as a per-request switch, so the same endpoint can serve low-latency chat and deliberate, step-by-step problem solving.
The model targets coding assistance, agentic workflows and visual understanding, with function calling available for tool-driven pipelines. An open-weight sibling checkpoint, Qwen3.8-Flash-Next, is published by the Qwen team on Hugging Face for teams that prefer to self-host rather than call the hosted endpoint.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Qwen 3.8 Flash · Organic sellers
Top sellers · Qwen 3.8 Flash · Organic
- OpenCheap29.2%
- Apiport28.5%
- ▲ Apex Ant16.1%
- Open Forge8.9%
- Best7.4%
- Super Seeder5.7%
- Others4.3%
| Seller | Health | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save | 1st token | tok/s |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Open Forge 0x1d90…b0aa | healthy | 91.11 | $0.86 | 3.41M | #2 | $0.15 | $0.03 | $0.47 | — | 3.5 s | 39 |
| Super Seeder 0xd19f…41f3 | healthy | 89.22 | $0.55 | 35.24M | #3 | $0.175 | $0.0175 | $0.6125 | — | — | — |
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $1.56 | 138.64M | #1 | $0.07 | $0.007 | $0.245 | −53% | — | — |
| attacompute.ai 0xd5e7…7be0 | healthy | 51.22 | $0.34 | 4.86M | gated | $0.07 | $0.007 | $0.245 | −53% | — | — |
| OpenCheap 0x0ee1…6c41 | — | 12.43 | $2.82 | 387.79M | gated | $0.0233 | $0.0026 | $0.0777 | −84% | — | — |
| Apiport 0xc3cf…7662 | — | 7.07 | $2.75 | 82.39M | gated | $0.045 | $0.0045 | $0.15 | −70% | — | — |
| Fire Ant 🔥🐜 0xbe05…bc5d | — | 0.00 | $0.02 | 201.28k | gated | $0.126 | $0.0088 | $0.441 | −16% | — | — |
| LLMart 0x948a…a000 | — | 0.00 | $0.05 | 1.73M | gated | $0.045 | $0.0051 | $0.15 | −70% | — | — |
| Best 0x472f…69fd | healthy | 0.00 | $0.71 | 56.29M | gated | $0.0235 | $0.0027 | $0.0785 | −84% | 0.4 s | 125 |
"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.