Model specification · Qwen
Qwen3.5-122B-A10B
qwen/qwen3.5-122b-a10b
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
SpecificationsReported values
- Context window
- 262K
- Maximum output
- 66K
- Architecture
- text+image+video->text
- Tokenizer
- Qwen3
- Knowledge cutoff
- —
- Moderated
- No
- Input modalities
- text image video
- Output modalities
- text
Full pricingUSD where reported
| Price | Standard |
|---|---|
| Input | $0.260 / M |
| Output | $2.08 / M |
Benchmark indexesReported indexes
- Intelligence
- 16.2
- Coding
- 45.7
- Agentic
- 9.6
- Design Arena Elo
- —
Example workload costsStandard pricing only
| Workload | Input / output | Cache share | Estimated cost |
|---|---|---|---|
| Quick check | 10K / 1K × 1 | 0% | $0.00468 |
| Long analysis | 100K / 4K × 1 | 50% | $0.034 |
| Workday | 20K / 2K × 1,000 | 30% | $9.36 |
More from QwenAll Qwen models
| Model | Context | Input / M | Output / M | Intel. |
|---|---|---|---|---|
| Qwen3.8 Max (0902) | 1M | $2.00 | $6.00 | 45.4 |
| Qwen3.8 2.4T A95B | 1.0M | $2.00 | $6.00 | 40 |
| Qwen3.8 27B | 1M | $0.214 | $2.55 | 33.9 |
| Qwen3.7 Max | 1M | $1.48 | $4.42 | 29.9 |
| Qwen3.7 Plus | 1M | $0.320 | $1.28 | 25.8 |
| Qwen3.6 27B | 262K | $0.300 | $2.00 | 21.9 |
| Qwen3.5 397B A17B | 262K | $0.550 | $3.50 | 19.1 |
| Qwen3.6 35B A3B | 262K | $0.100 | $0.900 | 18.8 |
| Qwen3 235B A22B Thinking 2507 | 131K | $0.230 | $2.30 | 12.7 |
| Qwen3 Coder Next | 262K | $0.120 | $0.800 | 10.1 |
| Qwen3 30B A3B Thinking 2507 | 82K | $0.200 | $2.40 | 9.8 |
| Qwen3 32B | 131K | $0.080 | $0.280 | 7.2 |