Alibaba Cloud / Qwen Team model product
8 Flash Next is an open-weight experimental preview of the architecture planned for Qwen4.
Updated Sep 8, 2026. Default version: Qwen3.8-Flash-Next
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Qwen3.8-Flash-Next.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkClawEval-MM | Score60.40% | Rank01 | Participants6 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score91.90% | Rank01 | Participants62 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRealWorldQA | Score88.50% | Rank01 | Participants31 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRecreationBench | Score49.90% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkAndroidWorld | Score84.50% | Rank02 | Participants7 | Percentile83.33% | EvidenceC | Evaluated |
| BenchmarkCoWorkBench | Score73.90% | Rank02 | Participants6 | Percentile80.00% | EvidenceC | Evaluated |
| BenchmarkERQA | Score72.30% | Rank02 | Participants26 | Percentile96.00% | EvidenceC | Evaluated |
| BenchmarkMathVision | Score95.70% | Rank02 | Participants35 | Percentile97.06% | EvidenceC | Evaluated |
| BenchmarkVision2Web | Score64.00% | Rank02 | Participants5 | Percentile75.00% | EvidenceC | Evaluated |
| BenchmarkJob Bench | Score55.70% | Rank03 | Participants8 | Percentile71.43% | EvidenceC | Evaluated |
| BenchmarkAgents' Last Exam | Score51.20% | Rank04 | Participants16 | Percentile80.00% | EvidenceC | Evaluated |
| BenchmarkCharXiv-R | Score90.60% | Rank04 | Participants55 | Percentile94.44% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score81.30% | Rank04 | Participants39 | Percentile92.11% | EvidenceC | Evaluated |
| BenchmarkSWE-bench Multilingual | Score81.00% | Rank04 | Participants43 | Percentile92.86% | EvidenceC | Evaluated |
| BenchmarkToolathlon | Score73.50% | Rank05 | Participants41 | Percentile90.00% | EvidenceC | Evaluated |
| BenchmarkLVBench | Score76.60% | Rank06 | Participants28 | Percentile81.48% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Task Outcome Explicit | Score12.46% | Rank06 | Participants49 | Percentile89.58% | EvidenceA | Evaluated |
| BenchmarkLM Arena Webdev | Score1,626.46 rating | Rank07 | Participants97 | Percentile93.75% | EvidenceA | Evaluated |
| BenchmarkNL2Repo | Score48.10% | Rank09 | Participants22 | Percentile61.90% | EvidenceC | Evaluated |
| BenchmarkOSWorld 2.0 | Score19.40% | Rank10 | Participants11 | Percentile10.00% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Pro | Score62.50% | Rank12 | Participants55 | Percentile79.63% | EvidenceC | Evaluated |
| BenchmarkDeepSWE 1.1 | Score58.70% | Rank17 | Participants31 | Percentile46.67% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score91.70% | Rank19 | Participants247 | Percentile92.68% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Leaderboard | Score2.61% | Rank23 | Participants49 | Percentile54.17% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Praise Complaint | Score0.24% | Rank27 | Participants49 | Percentile45.83% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Bash Recovery Steps | Score1.90% | Rank29 | Participants49 | Percentile41.67% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Steerability | Score-1.18% | Rank29 | Participants49 | Percentile41.67% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Tool Hallucination | Score-0.39% | Rank42 | Participants49 | Percentile14.58% | EvidenceA | Evaluated |
| BenchmarkHumanity's Last Exam | Score35.90% | Rank45 | Participants103 | Percentile56.86% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenaagent task outcome explicit | Categoryoverall | Rank06 | Rating / score0.12 | VotesN/A | Observations9.5K | Result date |
| Arenawebdev | Categorywebdev-react | Rank06 | Rating / score1,645.32 | Votes1,443 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank07 | Rating / score1,626.46 | Votes2,158 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank07 | Rating / score1,626.46 | Votes2,158 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-html | Rank11 | Rating / score1,606.29 | Votes261 | ObservationsN/A | Result date |
| Arenaagent | Categoryoverall | Rank23 | Rating / score0.03 | VotesN/A | Observations2.9M | Result date |
| Arenaagent praise complaint | Categoryoverall | Rank27 | Rating / score0.00 | VotesN/A | Observations3.4K | Result date |
| Arenaagent bash recovery steps | Categoryoverall | Rank29 | Rating / score0.02 | VotesN/A | Observations126.7K | Result date |
| Arenaagent steerability | Categoryoverall | Rank29 | Rating / score-0.01 | VotesN/A | Observations8.2K | Result date |
| Arenaagent tool hallucination | Categoryoverall | Rank42 | Rating / score0.00 | VotesN/A | Observations2.7M | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderVercel AI Gateway | Provider model IDalibaba/qwen3.8-flash-next | Regionglobal | Input / 1M$0.12 | Output / 1M$0.40 | Context1M | Updated |
| ProviderAMD | Provider model IDQwen3.8-Flash-Next | Regionglobal | Input / 1M$0.15 | Output / 1M$0.47 | Context262.1K | Updated |
| ProviderRequesty | Provider model IDqwen3.8-flash-next | Regionglobal | Input / 1M$0.20 | Output / 1M$0.50 | Context262.1K | Updated |
| ProviderCortecs | Provider model IDqwen3.8-flash-next | Regionglobal | Input / 1M$0.201 | Output / 1M$0.50 | Context262.1K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Qwen3.8-Flash-Next. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionQwen3.8-Flash-Next | Released | LLMBoard81.44 | Parameters125B | ContextN/A | Max outputN/A | Open weightsYes | LicenseQwen Community License 1.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Qwen3.8 Flash Next and its available data.
8 Flash Next is a causal language model from Alibaba Cloud / Qwen Team with a vision encoder for text, image, and video, Hybrid Attention (QSA), Gated Residual, and N-gram Embedding. It supports a native 262,144-token context that can be extended to 1,000,000 tokens and has thinking enabled by default.
Data as of 2026-09-08.
Common questions about Qwen3.8 Flash Next.
Qwen3.8 Flash Next's default version was released on Aug 26, 2026.
No official standard PAYG price is currently available for Qwen3.8 Flash Next. The lowest tracked third-party offer starts at $0.12 input and $0.40 output via Vercel AI Gateway.
Qwen3.8 Flash Next was created by Alibaba Cloud / Qwen Team.
A context window is not available for the default version.
Yes. The default version is marked as open weight under Qwen Community License 1.0.
4 provider offerings are linked to the default version.