Qwen3.8 27B
Qwen · released Aug 14, 2026
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Specification
- Context window
- 1M
- Max output
- 236K
- Knowledge cutoff
- Not stated
- Parameters
- 27.8B
- Licence
- apache-2.0
- Serving providers
- 20
- Moderated
- No
- Uptime
- 100.0%
Intelligence
33.7
85th percentile
Coding
68.1
Coding Index
Agentic
45.8
Agentic Index
Output speed
409 t/s
Median across providers
Latency
273ms
Time to first token
Cost per task
$0.19
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 Diamond90.5%
- AA-LCR (long context)82.0%
- τ²-bench (Telecom)48.0%
- SciCode46.6%
- Humanity's Last Exam33.9%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 90.5% |
| AA-LCR (long context) | 82.0% |
| τ²-bench (Telecom) | 48.0% |
| SciCode | 46.6% |
| Humanity's Last Exam | 33.9% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- V4 Flash 0731DeepSeek34.3
- V4 Flash 0423DeepSeek34.3
- Gemini 3.6 FlashGoogle34.0
- KAT-Coder-Pro V2KwaiPilot33.9
- Qwen3.8 27BQwen33.7
- Muse Spark 1.1Meta33.7
- GLM 5.2Z.ai33.7
- Gemini 3.5 FlashGoogle32.6
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| V4 Flash 0731 | 34.3 |
| V4 Flash 0423 | 34.3 |
| Gemini 3.6 Flash | 34.0 |
| KAT-Coder-Pro V2 | 33.9 |
| Qwen3.8 27B | 33.7 |
| Muse Spark 1.1 | 33.7 |
| GLM 5.2 | 33.7 |
| Gemini 3.5 Flash | 32.6 |
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
- $0.24
- Output / 1M tokens
- $2.2
- Cached input / 1M
- $0.05
- Blended 3:1
- $0.73
One task, estimated
$0.19
- 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
- Tenstorrent
- Darkbloom
- Chutes
- Near AI
- Reka
- Wafer
- DekaLLM
- Ionstream
- DeepInfra
- ModelRun
- Mancer 2
- Phala
- AkashML
- Parasail
- CoreWeave
- Novita
- Alibaba
- Cloudflare
- Venice
- Cerebras
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.