Qwen · Open weights
Qwen3.5 27B TEE
Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
- Vision
- Video input
- Input
- Text, Images, Video
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.30
- Output
- $2.40
Reference prices as published by the model provider. API example
Specifications
- Context window
- 262.1K
- Max output
- 65.5K
- Average output (7 days)
- 1.4K tokens
- Longer than 82% of 468 models
Side by side
Qwen3.5 27B TEE compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen3.5 27B TEEQwenThis model | Qwen 3.8 27B FimiQwenRemove | |
|---|---|---|
| Provider | Qwen | Qwen |
| Discovery tier | Open weights | Open weights |
| Added | Mar 13, 2026 | Oct 5, 2026 |
| Limits | ||
| Context window | 262.14K | 262.14K |
| Max output | 65.54KBest | 32.77K |
| Average output | 1.4K tokens | 290 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.30 | $0.10Best |
| Output | $2.40 | $0.60Best |
| Cache read | — | $0.05 |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 22.9 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Video input | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Qwen3.5 27B TEE
- Qwen 3.8 27B Fimi
Intelligence Index
- Qwen3.5 27B TEE22.9
- Qwen 3.8 27B Fimi—
Qwen3.5 27B TEE: Better than 56% of 326 scored models
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Qwen3.5 27B TEE: 77.7%
- Qwen 3.8 27B Fimi: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Qwen3.5 27B TEE: 23.9%
- Qwen 3.8 27B Fimi: —
GPQA Diamond
Graduate-level science questions
- Qwen3.5 27B TEE: 85.8%
- Qwen 3.8 27B Fimi: —
IFBench
Following precise output instructions
- Qwen3.5 27B TEE: 75.6%
- Qwen 3.8 27B Fimi: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Qwen3.5 27B TEE: 32.6%
- Qwen 3.8 27B Fimi: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- Qwen3.5 27B TEE: 93.9%
- Qwen 3.8 27B Fimi: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Qwen3.5 27B TEE: 77.7%
- Qwen 3.8 27B Fimi: —
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "TEE/qwen3.5-27b",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="TEE/qwen3.5-27b",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
Related models
Other Qwen models, starting with the same family.