Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- moe
- Total params
- 235B
- Active params
- 22B
- Context window
- 262K tokens
- Attention
- mrope-interleaved
- Position encoding
- rope-interleaved
- Post-training
- sft, rlhf
- OSI-approved
- yes
- Data released
- no
- Training code
- not released
Benchmarks
Each score carries the date it was published; we never infer or interpolate missing scores.
General reasoning
| MMLU-Pro | 82.3 | as of 2026-05-21 | source ↗ |
| GPQA-Diamond | 71.2 | as of 2026-05-21 | source ↗ |
Code
| LiveCodeBench | 59.4 | as of 2026-05-21 | source ↗ |
Math
| AIME 2025 | 70.7 | as of 2026-05-21 | source ↗ |
Available quantizations
GGUF llama.cpp's container; the common local format, k-quants from Q2 to Q8.
runs on llama.cpp, Ollama
FP8 8-bit float, frequently a native release on Hopper / Blackwell GPUs.
runs on vLLM, SGLang, TensorRT-LLM
Verified via the Hugging Face model tree ↗. Community quantizations change over time; the families shown are those with published weights at audit time.
Notable innovations
- · Interleaved-MRoPE for video reasoning
- · DeepStack multi-level ViT fusion
- · Text-Timestamp Alignment for grounded events
- · 1M-token vision-language context
Lineage
Vision-language flagship sibling to the text Qwen3 235B MoE.
Derived from
Qwen 3 235B A22B Instruct 2025-04-28