Qwen3 VL 235B A22B Instruct
Qwen vision-language instruct model for visual reasoning, documents, and agent tasks
- Context
- 262K
- Released
- 1y ago
- Parameters
- 235B
- Input / 1M tokens
- $0.21
- Output / 1M tokens
- $1.90
- Cached input / 1M tokens
- $0.10
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Qwen
- Model family
- Qwen
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- September 23, 2025
- Model ID
qwen/qwen3-vl-235b-a22b-instruct- Openness
- Open weights
- License
- —
- Parameters
- 235B
- Input modalities
- text, image
- Output modalities
- text
- Modality
- text+image->text
- Native context
- 256K
- Tokenizer
- Qwen3
- Max output tokens
- 33K
- Knowledge cutoff
- 2025-03-31
- Hugging Face
- Qwen/Qwen3-VL-235B-A22B-Instruct
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Open-weight builds
Ollama variants
Every published Ollama tag matched to this model, including parameter editions, instruction/base variants, and quantized builds.
| Variant | Parameters | Type | Quantization | Size | Context | Input |
|---|---|---|---|---|---|---|
| qwen3-vl:2b-instruct-bf16 | 2B | instruct | BF16 | 4.3 GB | 256K | text + image |
| qwen3-vl:2b-instruct | 2B | instruct | Q4_K_M | 1.9 GB | 256K | text + image |
| qwen3-vl:2b-instruct-q8_0 | 2B | instruct | Q8_0 | 2.6 GB | 256K | text + image |
| qwen3-vl:2b-thinking-bf16 | 2B | thinking | BF16 | 4.3 GB | 256K | text + image |
| qwen3-vl:2b | 2B | thinking | Q4_K_M | 1.9 GB | 256K | text + image |
| qwen3-vl:2b-thinking-q8_0 | 2B | thinking | Q8_0 | 2.6 GB | 256K | text + image |
| qwen3-vl:4b-instruct-bf16 | 4B | instruct | BF16 | 8.9 GB | 256K | text + image |
| qwen3-vl:4b-instruct | 4B | instruct | Q4_K_M | 3.3 GB | 256K | text + image |
| qwen3-vl:4b-instruct-q8_0 | 4B | instruct | Q8_0 | 5.1 GB | 256K | text + image |
| qwen3-vl:4b-thinking-bf16 | 4B | thinking | BF16 | 8.9 GB | 256K | text + image |
| qwen3-vl:4b | 4B | thinking | Q4_K_M | 3.3 GB | 256K | text + image |
| qwen3-vl:4b-thinking-q8_0 | 4B | thinking | Q8_0 | 5.1 GB | 256K | text + image |
| qwen3-vl:8b-instruct-bf16 | 8B | instruct | BF16 | 18 GB | 256K | text + image |
| qwen3-vl:8b-instruct | 8B | instruct | Q4_K_M | 6.1 GB | 256K | text + image |
| qwen3-vl:8b-instruct-q8_0 | 8B | instruct | Q8_0 | 9.8 GB | 256K | text + image |
| qwen3-vl:8b-thinking-bf16 | 8B | thinking | BF16 | 18 GB | 256K | text + image |
| qwen3-vl:latest | 8B | thinking | Q4_K_M | 6.1 GB | 256K | text + image |
| qwen3-vl:8b-thinking-q8_0 | 8B | thinking | Q8_0 | 9.8 GB | 256K | text + image |
| qwen3-vl:30b-a3b-instruct-bf16 | 30B | instruct | BF16 | 62 GB | 256K | text + image |
| qwen3-vl:30b-a3b-instruct | 30B | instruct | Q4_K_M | 20 GB | 256K | text + image |
| qwen3-vl:30b-a3b-instruct-q8_0 | 30B | instruct | Q8_0 | 34 GB | 256K | text + image |
| qwen3-vl:30b-a3b-thinking-bf16 | 30B | thinking | BF16 | 62 GB | 256K | text + image |
| qwen3-vl:30b | 30B | thinking | Q4_K_M | 20 GB | 256K | text + image |
| qwen3-vl:30b-a3b-thinking-q8_0 | 30B | thinking | Q8_0 | 34 GB | 256K | text + image |
| qwen3-vl:32b-instruct-bf16 | 32B | instruct | BF16 | 67 GB | 256K | text + image |
| qwen3-vl:32b-instruct | 32B | instruct | Q4_K_M | 21 GB | 256K | text + image |
| qwen3-vl:32b-instruct-q8_0 | 32B | instruct | Q8_0 | 36 GB | 256K | text + image |
| qwen3-vl:32b-thinking-bf16 | 32B | thinking | BF16 | 67 GB | 256K | text + image |
| qwen3-vl:32b | 32B | thinking | Q4_K_M | 21 GB | 256K | text + image |
| qwen3-vl:32b-thinking-q8_0 | 32B | thinking | Q8_0 | 36 GB | 256K | text + image |
| qwen3-vl:235b-a22b-instruct-bf16 | 235B | instruct | BF16 | 471 GB | 256K | text + image |
| qwen3-vl:235b-a22b-instruct | 235B | instruct | Q4_K_M | 143 GB | 256K | text + image |
| qwen3-vl:235b-a22b-instruct-q8_0 | 235B | instruct | Q8_0 | 251 GB | 256K | text + image |
| qwen3-vl:235b-a22b-thinking-bf16 | 235B | thinking | BF16 | 471 GB | 256K | text + image |
| qwen3-vl:235b | 235B | thinking | Q4_K_M | 143 GB | 256K | text + image |
| qwen3-vl:235b-a22b-thinking-q8_0 | 235B | thinking | Q8_0 | 251 GB | 256K | text + image |
Additional source evidence
- Source model
- alibaba/qwen3-vl-235b-a22b-instruct
- Source family
- qwen
- Last updated
- 2025-09-23
- Knowledge cutoff
- 2025-03-31
- Model context
- 131K
- Model output limit
- 33K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "alibaba/qwen3-vl-235b-a22b-instruct",
"name": "Qwen3 VL 235B A22B Instruct",
"description": "Qwen vision-language instruct model for visual reasoning, documents, and agent tasks",
"family": "qwen",
"last_updated": "2025-09-23",
"knowledge": "2025-03-31",
"attachment": true,
"reasoning": false,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 131072,
"output": 32768
},
"release_date": "2025-09-23",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| deepinfra/fp8 | 262K | $0.20 | $0.88 | $0.11 | — | 99.79% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| parasail/fp8 | 131K | $0.21 | $1.90 | $0.10 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| venice/fp8 | 128K | $0.21 | $1.90 | $0.10 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.