Alibaba

Qwen3.8 Flash NextOpen

Alibaba Qwen3.8 Flash Next experimental high-throughput multimodal preview model.

#221released Aug 18, 2026·Open Weights·Not disclosed
textimagevideo260K ctx
API providersGet API Key →Leaderboard
Intelligence
66.8 #221
AAQI 61.5
Output Speed
168 t/s
TTFT 210 ms · ITL 6.0 ms/tok
Blended price (3:1)
$0.19 /1M
In $0.12/M · Out $0.4/M
Context
260K
≈ 650 A4 pages · max out 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Qwen3.8 Flash Next
Claude Mythos Preview (#1)
Average (68)
Coding (60.5)Mathematics (68)Hard Science (GPQA) (66)Agentic & Tool Use (63.5)Knowledge (MMLU) (64)Vision / Multimodal (66)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • 168 tok/s output — fast enough for real-time agents
  • Sub-400ms time-to-first-token
  • Very low blended price — $0.19/1M mixed tokens

Killer Use Cases

Real-time agents
Low-latency loops for voice, gaming and interactive copilots.
High-volume batch jobs
Classification, extraction and summarization at minimal cost per call.
Vision & document OCR
Extracts structure from scans, charts, screenshots and mixed-media inputs.

Developer Quickstart & API

Set DASHSCOPE_API_KEY first — get an API key
curl https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "qwen3-8-flash-next",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
  • Prompt caching supported — cached input reads at $0.02/1M tokens.
  • Native multimodality: text, image, video in a single model.
Release date
Aug 18, 2026
Parameters
Not disclosed
License
Open Weights
Context Window
260,000 tokens
Max Output
8,192 tokens
Modalities
text + image + video
Cache Pricing
read $0.02 · write $0.16 /1M
Reasoning
—
Input Price
$0.12/M
Output Price
$0.4/M
Output Speed
168 t/s
Time to First Token
210 ms
Data Updated
Aug 28, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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BibTeX
@misc{llmpodium2026qwen38flashnext,
  title = {Benchmark Analysis and Intelligence Evaluation of Qwen3.8 Flash Next},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/qwen3-8-flash-next}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Qwen3.8 Flash Next LLMPodium Score
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