Alibaba Cloud / Qwen Team model product
4T-A95B open-weight checkpoint, is Qwen's flagship mixture-of-experts model for coding, research, professional workflows, and long-horizon agents.
Updated Aug 17, 2026. Default version: Qwen3.8 Max
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Qwen3.8 Max.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAndroidBench | Score75.1% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkAndroidWorld | Score85.3% | Rank01 | Participants5 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkCoWorkBench | Score74.8% | Rank01 | Participants4 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkERQA | Score77.8% | Rank01 | Participants24 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkHealthBench | Score60.2% | Rank01 | Participants9 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score82.8% | Rank01 | Participants34 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkLongBench v2 | Score66.3% | Rank01 | Participants17 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMobileWorld | Score77.8% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkOSWorld-Verified | Score86.1% | Rank01 | Participants24 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkPaperBench | Score93.0% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkPerceptionBench | Score63.5% | Rank01 | Participants2 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkPLawBench | Score73.2% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkPRBench-Finance | Score58.3% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkPRBench-Legal | Score57.6% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkQwenQoderBench | Score58.4% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkQwenReactBench | Score1,724 points | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkQwenSVG | Score1,713 points | Rank01 | Participants2 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkQwenSWEBench | Score80.7% | Rank01 | Participants2 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkRealWorldQA | Score88.0% | Rank01 | Participants29 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkSkillsBench | Score70.2% | Rank01 | Participants8 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVideoMME w sub. | Score90.4% | Rank01 | Participants10 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkVision2Web | Score69.0% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkWideSearch | Score81.9% | Rank01 | Participants10 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkWorkspace Bench | Score67.7% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkAgents' Last Exam | Score52.4% | Rank02 | Participants10 | Percentile88.9% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam (with tools, text-only) | Score56.2% | Rank02 | Participants3 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkJob Bench | Score53.4% | Rank02 | Participants4 | Percentile66.7% | EvidenceC | Evaluated |
| BenchmarkLVBench | Score81.8% | Rank02 | Participants25 | Percentile95.8% | EvidenceC | Evaluated |
| BenchmarkMLS-Bench Lite | Score41.0% | Rank02 | Participants3 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkMRCR v2 (8-needle) | Score92.9% | Rank02 | Participants23 | Percentile95.5% | EvidenceC | Evaluated |
| BenchmarkNL2Repo | Score55.9% | Rank03 | Participants17 | Percentile87.5% | EvidenceC | Evaluated |
| BenchmarkOneMillion Bench | Score52.5% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkScreenSpot Pro | Score84.5% | Rank03 | Participants25 | Percentile91.7% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Pro | Score67.7% | Rank04 | Participants50 | Percentile93.9% | EvidenceC | Evaluated |
| BenchmarkAutomationBench | Score27.3% | Rank05 | Participants12 | Percentile63.6% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score82.3% | Rank05 | Participants68 | Percentile94.0% | EvidenceC | Evaluated |
| BenchmarkToolathlon | Score72.5% | Rank05 | Participants37 | Percentile88.9% | EvidenceC | Evaluated |
| BenchmarkFrontierSWE | Score73.5% | Rank06 | Participants16 | Percentile66.7% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.1 | Score86.6% | Rank06 | Participants28 | Percentile81.5% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score92.6% | Rank12 | Participants239 | Percentile95.4% | EvidenceC | Evaluated |
| BenchmarkDeepSWE 1.1 | Score56.6% | Rank13 | Participants25 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score43.6% | Rank30 | Participants99 | Percentile70.4% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision style control | Categoryoverall | Rank02 | Rating / score1301.3 | Votes5,344 | ObservationsN/A | Result date |
| Arenawebdev | Categoryoverall | Rank03 | Rating / score1666.7 | Votes2,855 | ObservationsN/A | Result date |
| Arenaagent task outcome explicit | Categoryoverall | Rank04 | Rating / score0.1 | VotesN/A | Observations5.4K | Result date |
| Arenatext | Categoryoverall | Rank06 | Rating / score1491.7 | Votes6,908 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank06 | Rating / score1314.6 | Votes5,344 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank09 | Rating / score1490.7 | Votes6,908 | ObservationsN/A | Result date |
| Arenaagent | Categoryoverall | Rank11 | Rating / score0.1 | VotesN/A | Observations561.8K | Result date |
| Arenaagent praise complaint | Categoryoverall | Rank11 | Rating / score0.1 | VotesN/A | Observations2K | Result date |
| Arenatext factuality | Categoryoverall | Rank11 | Rating / score1480.6 | Votes6,908 | ObservationsN/A | Result date |
| Arenaagent steerability | Categoryoverall | Rank18 | Rating / score0.1 | VotesN/A | Observations6.8K | Result date |
| Arenaagent bash recovery steps | Categoryoverall | Rank19 | Rating / score0.1 | VotesN/A | Observations14.5K | Result date |
| Arenaagent tool hallucination | Categoryoverall | Rank39 | Rating / score0.0 | VotesN/A | Observations533.2K | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderAlibaba Token Plan | Provider model IDqwen3.8-max | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderAlibaba Token Plan (China) | Provider model IDqwen3.8-max | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderDeep Infra | Provider model IDQwen/Qwen3.8-Max | Regionglobal | Input / 1M$1.65 | Output / 1M$4.95 | Context256K | Updated |
| ProviderAIHubMix | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$1.69 | Output / 1M$5.07 | Context991K | Updated |
| ProviderAlibaba (China) | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$1.78 | Output / 1M$5.33 | Context1M | Updated |
| ProviderLLM Gateway | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$1.82 | Output / 1M$5.45 | Context1M | Updated |
| ProviderCrossModel | Provider model IDqwen/qwen3.8-max | Regionglobal | Input / 1M$1.88 | Output / 1M$5.63 | Context1M | Updated |
| ProviderNanoGPT | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context991K | Updated |
| ProviderOpenRouter | Provider model IDqwen/qwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderOpenCode Go | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderMerge Gateway | Provider model IDqwen/qwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderDigitalOcean | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context262.1K | Updated |
| ProviderAlibaba | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderOfox | Provider model IDbailian/qwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderCharm Hyper | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderEmpirioLabs AI | Provider model IDqwen3-8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderVercel AI Gateway | Provider model IDalibaba/qwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderEden AI | Provider model IDqwen/qwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderKilo Gateway | Provider model IDqwen/qwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderFireworks AI | Provider model IDaccounts/fireworks/models/qwen3p8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context262.1K | Updated |
| ProviderAbacus | Provider model IDqwen3.8-max | Regionglobal | Input / 1M$2 | Output / 1M$6 | Context1M | Updated |
| ProviderVenice AI | Provider model IDqwen-3-8-max | Regionglobal | Input / 1M$2.5 | Output / 1M$7.5 | Context1M | 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 Max. 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 Max | Released | LLMBoard89.8 | Parameters2.4T | Context1M | Max output131.1K | Open weightsNo | LicenseQwen3.8-Max License |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Qwen3.8 Max and its available data.
4T-A95B open-weight checkpoint, is Qwen's flagship mixture-of-experts model for coding, research, professional workflows, and long-horizon agents. 4 trillion total parameters with 95 billion active parameters, a native 262,144-token context window extensible to about 1 million tokens, and always-on thinking.
8 Max API family with text and image input.
Data as of 2026-08-17.
Common questions about Qwen3.8 Max.
Qwen3.8 Max's default version was released on Aug 2, 2026.
Qwen3.8 Max's official API price is $2 per million input tokens and $6 per million output tokens via Alibaba. The lowest tracked third-party offer starts at $1.65 input and $4.95 output via Deep Infra.
Qwen3.8 Max was created by Alibaba Cloud / Qwen Team.
The default version has a 1M token context window.
No. The default version is not marked as having publicly available weights.
22 provider offerings are linked to the default version.
Nearby ranked alternatives include Kimi K3, GLM 5.3, DeepSeek-V4-Pro.