Qwen3.8-Flash-Next benchmarks, pricing and specs
Qwen3.8-Flash-Next is an Alibaba Qwen model released on August 26, 2026 that takes text, image and video input and produces text. Its price is not published and accepts up to 262,144 tokens of context.
- Context window
- 262K
Data verified October 13, 2026 · Dataset 2026-10-13
Key facts
- Provider
- Alibaba Qwen
- Model family
- Qwen3.8
- Release date
- August 26, 2026
- Status
- Current
- Access
- open weights
- API model id
- Not reported
- Context window
- 262,144 tokens
- Max output
- Not reported
- Input
- text, image, video
- Output
- text
- Task families
- text, multimodal
- Declared capabilities
- reasoning, coding, agentic coding, instruction following, image understanding, video understanding
Qwen3.8-Flash-Next pricing
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Alibaba Qwen's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
No independent benchmark has published a result for Qwen3.8-Flash-Next yet. It is still compared below on price, context and capabilities.
Strengths, cautions and best uses
Strengths
- An experimental preview of the architecture Alibaba plans for Qwen4: 125B parameters with 6B active, plus a 51B n-gram embedding table
- Alibaba reports 62.5 on SWE-bench Pro and 91.7 on GPQA Diamond, ahead of the larger Qwen3.7-Plus in its own table
- Alibaba says training cost about one ninth of Qwen3.7-Plus
Cautions
- Alibaba calls it experimental; the hosted qwen3.8-flash API is a different, production model
- The Qwen Community License requires a separate licence before a model-as-a-service business uses it
- Native context is 262,144 tokens; 1M needs YaRN scaling
Best for
- Self-hosted agentic coding on limited accelerator memory
- Research on the Qwen4 architecture
Alternatives to Qwen3.8-Flash-Next
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
GLM-5.3-Flash
- 1M context window vs 262K
- From Z.ai
Granite 4.2 30B
- 128K context window vs 262K
- From IBM
Claude Fable 5.1
- 1M context window vs 262K
- From Anthropic
Claude Mythos 5.1
- From Anthropic
Other Qwen3.8 models
Qwen3.8-Flash-Next FAQ
What is the context window of Qwen3.8-Flash-Next?
Qwen3.8-Flash-Next accepts up to 262,144 tokens of context. That ranks #49 of 57 current text models by context length.
Is Qwen3.8-Flash-Next open source or API only?
Qwen3.8-Flash-Next is released as open weights that you can run yourself.
What are the best alternatives to Qwen3.8-Flash-Next?
The closest current alternatives by price and measured performance are GLM-5.3-Flash (1M context window vs 262K), Granite 4.2 30B (128K context window vs 262K), Claude Fable 5.1 (1M context window vs 262K) and Claude Mythos 5.1 (from Anthropic).
Sources
- Qwen3.8-Flash-Next model card · Alibaba Qwen · official · verified October 13, 2026
Cite this page
Van Data Team. "Qwen3.8-Flash-Next Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-13. https://vandatateam.com/ai-model-benchmarks/qwen3-8-flash-next
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Production evaluation
Deciding whether Qwen3.8-Flash-Next fits your workload?
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