Qwen3.8-Next-Flash
qwen
Cross-checked
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps. Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Capabilities & Recommended Uses
Strengths
- •Text, image and video input
- •Million-token context window
Best For
- •Coding assistance
- •Document and codebase analysis
Weaknesses
- •Coding benchmark score not yet available
Benchmark evidence and ranking method · Qwen3.8-Next-Flash
Cross-checked
Artificial Analysis · Qwen3.8-Flash-Next
Test configuration: unspecified
Terminal-Bench 2.1: 86.14% · SciCode: 50.58%
LiveBench · 2026-06-25 · qwen3.8-flash-next
Coding: 72.55% · Agentic Coding: 61.62%
ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.
Compare with Alternatives
Related Analysis & Reviews
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Compare GLM-5.3-Flash, DeepSeek V4 Flash 0731 and Qwen3.8-Flash-Next for coding. See task-specific evidence, API cost examples and a practical trial order.
GLM-5.3-Flash vs Qwen3.8-Flash-Next: Same Tier, Different Jobs
GLM and Qwen both show a Coding Index of 105. Their generation, completion and agent results disagree. See which to trial and what the API gap costs.
Qwen3.8-Flash-Next vs DeepSeek V4 Flash 0731 for Coding Agents
Should a coding agent move from DeepSeek 0731 to Qwen Flash-Next? Compare language-level agent results, API channels and a practical migration test.
Frequently Asked Questions
What is Qwen3.8-Next-Flash's coding score and ranking tier?
Qwen3.8-Next-Flash by qwen is rated as Tier A on ModelRank with a coding score of 104.89 (Reference baseline = 100) as a reference index derived from public benchmark evidence. Tiers are editorial assessments; the index does not establish real-world capability differences.
What is the API pricing and context window for Qwen3.8-Next-Flash?
Qwen3.8-Next-Flash features a 1,000,000 token context window. Pricing is $0.15 per 1M input tokens and $0.47 per 1M output tokens (OpenRouter quote).
What programming tasks is Qwen3.8-Next-Flash best suited for?
Qwen3.8-Next-Flash is recommended for: Coding assistance, Document and codebase analysis. Key strengths include: Text, image and video input, Million-token context window.
Try Qwen3.8-Next-Flash
Last updated: October 11, 2026