Qwen3.8 Max (0902)
Qwen · released Sep 3, 2026
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
Specification
- Context window
- 1M
- Max output
- 131K
- Knowledge cutoff
- Not stated
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- No
- Uptime
- 100.0%
Intelligence
45.4
95th percentile
Coding
76.2
Coding Index
Agentic
56.0
Agentic Index
Output speed
33 t/s
Median across providers
Latency
2.27s
Time to first token
Cost per task
$0.58
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond92.8%
- AA-LCR (long context)80.3%
- SciCode52.1%
- τ²-bench (Telecom)47.8%
- Humanity's Last Exam43.1%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 92.8% |
| AA-LCR (long context) | 80.3% |
| SciCode | 52.1% |
| τ²-bench (Telecom) | 47.8% |
| Humanity's Last Exam | 43.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GPT-5.6 SolOpenAI47.0
- Grok 4.7xAI46.4
- MiMo-V2.6-ProXiaomi46.3
- Qwen3.8 Max (0902)Qwen45.4
- GLM 5.3Z.ai44.8
- Grok 4.6xAI44.3
- Step 5 PreviewStepFun43.7
- Kimi K3Moonshot AI43.6
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GPT-5.6 Sol | 47.0 |
| Grok 4.7 | 46.4 |
| MiMo-V2.6-Pro | 46.3 |
| Qwen3.8 Max (0902) | 45.4 |
| GLM 5.3 | 44.8 |
| Grok 4.6 | 44.3 |
| Step 5 Preview | 43.7 |
| Kimi K3 | 43.6 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $2
- Output / 1M tokens
- $6
- Cached input / 1M
- $0.25
- Blended 3:1
- $3
One task, estimated
$0.58
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.