Qwen3.8-Max-0902

Released
2026-09-02
Last refreshed
2026-10-09
Status
Researched 45d ago
ProprietaryCommercial use: restrictedMultimodalCodingRAGAgentsLong contextVisionJSON / Tool useAgentCoding
Alibaba releases · 51 in the last 12 months · this family litChangelog →
Specifications
Family
Qwen3.8
Released
2026-09-02
Context
1M
Max output
128K
Parameters
2.4T
Architecture
Mixture of Experts
Specialization
general
Openness
Proprietary
License
ProprietaryRestricted
Weights
Not released
Code
Unknown
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$6.00
Input / 1M
$2.00

Cheapest of 2 routes · Alibaba Cloud PAI-EAS · cache read $0.170

About

Qwen3.8-Max-0902 is Alibaba's dated API snapshot of Qwen3.8-Max, listed September 2, 2026 on QwenCloud and Model Studio as model ID qwen3.8-max-0902 (first-party alias qwen3.8-max-2026-09-02). Official copy: an upgraded snapshot of qwen3.8-max with stronger coding (engineering-scale / long-horizon autonomous development), collaborative-agent multi-tool orchestration, and refined native vision (chart reasoning, document parsing, multimodal perception). Retains the 1,000,000-token context window, thinking mode, and full tool ecosystem. Input image/text/video, output text; function calling, structured outputs, context cache. International QwenCloud / Model Studio Singapore list price $2 input / $6 output per 1M tokens; implicit cache $0.25; explicit cache create $2.50; explicit cache read $0.17.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Alibaba Cloud PAI-EAS$2.00$6.00read $0.170
Serverless
OpenRouter$2.00$6.00read $0.250
Serverless

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(2)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
34.1FrontierMath Tier 4 v2 (private)Observed 2026-09-02
Configuration: qwen3.8-max-0902 (Extra High)
Harness: Epoch AI FrontierMath Tier 4 v2 private set
Evaluator: Epoch AI
Confidence: confirmed
Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file frontiermath_tier_4_v2.csv, row 'qwen3.8-max-0902_xhigh', run started 2026-09-02). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only).
92.3diamondObserved 2026-09-02
Configuration: qwen3.8-max-0902 (Extra High)
Harness: Epoch AI Inspect harness (GPQA Diamond, 198 Q)
Evaluator: Epoch AI
Confidence: confirmed
Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file gpqa_diamond.csv, row 'qwen3.8-max-0902_xhigh', run started 2026-09-02). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only).

Migration checks

No linked migration route is available for this model yet.

API versions

qwen3.8-max-0902qwen3.8-max-2026-09-02