Qwen3.5-122B-A10B
Qwen vision-language model for visual reasoning, documents, and agent tasks
- Context
- 262K
- Released
- 7mo ago
- Parameters
- 122B
- Input / 1M tokens
- $0.26
- Output / 1M tokens
- $2.08
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
- February 23, 2026
- Model ID
qwen/qwen3.5-122b-a10b- Openness
- Open weights
- License
- —
- Parameters
- 122B
- Input modalities
- text, image, video
- Output modalities
- text
- Modality
- text+image+video->text
- Native context
- 256K
- Tokenizer
- Qwen3
- Max output tokens
- 66K
- Hugging Face
- Qwen/Qwen3.5-122B-A10B
- 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 |
|---|---|---|---|---|---|---|
| qwen3.5:0.8b-bf16 | 0.8B | — | BF16 | 1.8 GB | 256K | text + image |
| qwen3.5:0.8b-mlx-bf16 | 0.8B | — | BF16 | 1.7 GB | 256K | text + image |
| qwen3.5:0.8b-mtp-q8_0 | 0.8B | — | Q8_0 | 1.3 GB | 256K | text + image |
| qwen3.5:0.8b-q8_0 | 0.8B | — | Q8_0 | 1 GB | 256K | text + image |
| qwen3.5:0.8b | 0.8B | — | — | 1.2 GB | 256K | text + image |
| qwen3.5:0.8b-mlx | 0.8B | — | — | 1.2 GB | 256K | text + image |
| qwen3.5:0.8b-nvfp4 | 0.8B | — | — | 1 GB | 256K | text + image |
| qwen3.5:2b-bf16 | 2B | — | BF16 | 4.6 GB | 256K | text + image |
| qwen3.5:2b-mlx-bf16 | 2B | — | BF16 | 4.4 GB | 256K | text + image |
| qwen3.5:2b-mtp-q4_K_M | 2B | — | Q4_K_M | 2.6 GB | 256K | text + image |
| qwen3.5:2b-q4_K_M | 2B | — | Q4_K_M | 1.9 GB | 256K | text + image |
| qwen3.5:2b-mtp-q8_0 | 2B | — | Q8_0 | 3.3 GB | 256K | text + image |
| qwen3.5:2b-q8_0 | 2B | — | Q8_0 | 2.7 GB | 256K | text + image |
| qwen3.5:2b | 2B | — | — | 2.7 GB | 256K | text + image |
| qwen3.5:2b-mlx | 2B | — | — | 3.1 GB | 256K | text + image |
| qwen3.5:2b-nvfp4 | 2B | — | — | 2.5 GB | 256K | text + image |
| qwen3.5:4b-bf16 | 4B | — | BF16 | 9.3 GB | 256K | text + image |
| qwen3.5:4b-mlx-bf16 | 4B | — | BF16 | 9.1 GB | 256K | text + image |
| qwen3.5:4b-mtp-q4_K_M | 4B | — | Q4_K_M | 4.1 GB | 256K | text + image |
| qwen3.5:4b-q4_K_M | 4B | — | Q4_K_M | 3.3 GB | 256K | text + image |
| qwen3.5:4b-mtp-q8_0 | 4B | — | Q8_0 | 6 GB | 256K | text + image |
| qwen3.5:4b-q8_0 | 4B | — | Q8_0 | 5.2 GB | 256K | text + image |
| qwen3.5:4b | 4B | — | — | 3.3 GB | 256K | text + image |
| qwen3.5:4b-mlx | 4B | — | — | 4 GB | 256K | text + image |
| qwen3.5:4b-mxfp8 | 4B | — | — | 5.6 GB | 256K | text + image |
| qwen3.5:9b-bf16 | 9B | — | BF16 | 19 GB | 256K | text + image |
| qwen3.5:9b-mlx-bf16 | 9B | — | BF16 | 19 GB | 256K | text + image |
| qwen3.5:9b-mtp-q4_K_M | 9B | — | Q4_K_M | 9 GB | 256K | text + image |
| qwen3.5:9b-q4_K_M | 9B | — | Q4_K_M | 6.6 GB | 256K | text + image |
| qwen3.5:9b-mtp-q8_0 | 9B | — | Q8_0 | 13 GB | 256K | text + image |
| qwen3.5:9b-q8_0 | 9B | — | Q8_0 | 10 GB | 256K | text + image |
| qwen3.5:9b-mlx | 9B | — | — | 8.9 GB | 256K | text + image |
| qwen3.5:9b-mtp-nvfp4 | 9B | — | — | 7.6 GB | 256K | text + image |
| qwen3.5:9b-mxfp8 | 9B | — | — | 11 GB | 256K | text + image |
| qwen3.5:9b-nvfp4 | 9B | — | — | 7.2 GB | 256K | text + image |
| qwen3.5:latest | 9B | — | — | 6.6 GB | 256K | text + image |
| qwen3.5:27b-bf16 | 27B | — | BF16 | 56 GB | 256K | text + image |
| qwen3.5:27b-coding-bf16 | 27B | — | BF16 | 55 GB | 256K | text + image |
| qwen3.5:27b-mlx-bf16 | 27B | — | BF16 | 55 GB | 256K | text + image |
| qwen3.5:27b-mtp-q4_K_M | 27B | — | Q4_K_M | 21 GB | 256K | text + image |
| qwen3.5:27b-q4_K_M | 27B | — | Q4_K_M | 17 GB | 256K | text + image |
| qwen3.5:27b-q8_0 | 27B | — | Q8_0 | 30 GB | 256K | text + image |
| qwen3.5:27b | 27B | — | — | 17 GB | 256K | text + image |
| qwen3.5:27b-coding-mxfp8 | 27B | — | — | 30 GB | 256K | text + image |
| qwen3.5:27b-coding-nvfp4 | 27B | — | — | 20 GB | 256K | text + image |
| qwen3.5:27b-int4 | 27B | — | — | 16 GB | 256K | text + image |
| qwen3.5:27b-int8 | 27B | — | — | 30 GB | 256K | text + image |
| qwen3.5:27b-mlx | 27B | — | — | 20 GB | 256K | text + image |
| qwen3.5:27b-mxfp8 | 27B | — | — | 30 GB | 256K | text + image |
| qwen3.5:35b-a3b-bf16 | 35B | — | BF16 | 72 GB | 256K | text + image |
| qwen3.5:35b-a3b-coding-bf16 | 35B | — | BF16 | 70 GB | 256K | text + image |
| qwen3.5:35b-a3b-mlx-bf16 | 35B | — | BF16 | 70 GB | 256K | text + image |
| qwen3.5:35b-a3b-mtp-q4_K_M | 35B | — | Q4_K_M | 24 GB | 256K | text + image |
| qwen3.5:35b-a3b-q4_K_M | 35B | — | Q4_K_M | 22 GB | 256K | text + image |
| qwen3.5:35b-a3b-q8_0 | 35B | — | Q8_0 | 39 GB | 256K | text + image |
| qwen3.5:35b | 35B | — | — | 22 GB | 256K | text + image |
| qwen3.5:35b-a3b-coding-mxfp8 | 35B | — | — | 37 GB | 256K | text + image |
| qwen3.5:35b-a3b-coding-nvfp4 | 35B | — | — | 22 GB | 256K | text + image |
| qwen3.5:35b-a3b-int4 | 35B | — | — | 20 GB | 256K | text + image |
| qwen3.5:35b-a3b-int8 | 35B | — | — | 38 GB | 256K | text + image |
| qwen3.5:35b-a3b-mxfp8 | 35B | — | — | 37 GB | 256K | text + image |
| qwen3.5:35b-a3b-nvfp4 | 35B | — | — | 22 GB | 256K | text + image |
| qwen3.5:122b | 122B | — | Q4_K_M | 81 GB | 256K | text + image |
Additional source evidence
- Source model
- alibaba/qwen3.5-122b-a10b
- Source family
- qwen
- Last updated
- 2026-02-23
- Model context
- 262K
- Model output limit
- 66K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Structured output
- Yes
- Temperature control
- Yes
Downloadable weights
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Verified | 72 · resolved | — | Source |
Complete source record (JSON)
{
"id": "alibaba/qwen3.5-122b-a10b",
"name": "Qwen3.5 122B-A10B",
"description": "Qwen vision-language model for visual reasoning, documents, and agent tasks",
"family": "qwen",
"last_updated": "2026-02-23",
"attachment": true,
"reasoning": true,
"tool_call": true,
"structured_output": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image",
"video",
"audio"
],
"output": [
"text"
]
},
"limit": {
"context": 262144,
"output": 65536
},
"benchmarks": [
{
"name": "SWE-Bench Verified",
"score": 72,
"source": "https://huggingface.co/Qwen/Qwen3.5-122B-A10B",
"metric": "resolved"
}
],
"release_date": "2026-02-23",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/Qwen/Qwen3.5-122B-A10B"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| alibaba | 262K | $0.26 | $2.08 | — | — | 95.12% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| siliconflow/fp8 | 262K | $0.26 | $2.08 | — | — | 50.99% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| atlas-cloud/fp8 | 262K | $0.30 | $2.40 | $0.30 | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| novita/bf16 | 262K | $0.40 | $3.20 | — | — | 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.