Alibaba
Qwen3.8 Flash NextOffen
Alibaba Qwen3.8 Flash Next experimental high-throughput multimodal preview model.
Intelligence
66.8 #163
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 8192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Qwen3.8 Flash Next
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodik.
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Groq
Cerebras
Together AI
DeepInfra
Fireworks AI
AWS Bedrock
Azure AIErgebnisse nach Quelle
Kategorie-Punkte
Benchmark-Ergebnisse
Modelldetails
Veröffentlichungsdatum
18. Aug. 2026
Parameter
Not disclosed
Lizenz
Open Weights
Kontextfenster
260,000 tokens
Eingabepreis
$0.12/M
Ausgabepreis
$0.4/M
Ausgabegeschwindigkeit
168 t/s
Zeit bis zum ersten Token
210 ms
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
[](https://llmpodium.com/models/qwen3-8-flash-next)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}
}More from Alibaba
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