AI model comparison
Qwen3.6 35B A3B vs Qwen3.5-122B-A10B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.6 35B A3B
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token.
- Input / 1M
- $0.15
- Output / 1M
- $1
- Context
- 262K
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.
- Input / 1M
- $0.26
- Output / 1M
- $2.08
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.6 35B A3B
1.9x cheaper for a typical chat
Higher intelligence score
Qwen3.6 35B A3B
18.2 vs 17.7 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Qwen3.6 35B A3B
Released April 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.6 35B A3B18.2Qwen3.5-122B-A10B17.7Coding index
Qwen3.6 35B A3B41.9Qwen3.5-122B-A10B43.3Agentic index
Qwen3.6 35B A3B13.1Qwen3.5-122B-A10BNot availablePricing
Qwen3.6 35B A3B vs Qwen3.5-122B-A10B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.6 35B A3B | Qwen3.5-122B-A10B |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.26 |
| Output tokensPer 1M tokens | $1 | $2.08 |
| Cached input (read)Per 1M tokens | $0.05 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.6 35B A3B$0.80Qwen3.5-122B-A10B$1.56Coding task
30K in, 4K out
Qwen3.6 35B A3B$8.50$5.50 cachedQwen3.5-122B-A10B$16.12Long document summary
150K in, 2K out
Qwen3.6 35B A3B$24.50$9.50 cachedQwen3.5-122B-A10B$43.16Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.6 35B A3B | Qwen3.5-122B-A10B |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 236K tokens | 66K tokens |
| Input types | Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 27, 2026 | February 25, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.6 35B A3B | Qwen3.5-122B-A10B |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.6 35B A3BView full model details- Qwen3.6 35B A3B vs DeepSeek V4 Flash 0423
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- Qwen3.6 35B A3B vs GPT-5.4 Nano
- Qwen3.6 35B A3B vs Qwen3.5-35B-A3B
- Qwen3.6 35B A3B vs LongCat 2.0
- Qwen3.6 35B A3B vs MiniMax M2
- Qwen3.6 35B A3B vs GLM 4.6
- Qwen3.6 35B A3B vs Muse Glimmer 30B
- Qwen3.6 35B A3B vs Step 3.5 Flash
- Qwen3.6 35B A3B vs DeepSeek V3.1 Terminus
Qwen3.5-122B-A10BView full model details- Qwen3.5-122B-A10B vs Qwen3.5 397B A17B
- Qwen3.5-122B-A10B vs Qwen3.6 27B
- Qwen3.5-122B-A10B vs GPT-5 Mini
- Qwen3.5-122B-A10B vs Qwen3.5-35B-A3B
- Qwen3.5-122B-A10B vs GLM 4.6
- Qwen3.5-122B-A10B vs Muse Glimmer 30B
- Qwen3.5-122B-A10B vs Gemini 3.1 Flash Lite
- Qwen3.5-122B-A10B vs Claude Haiku 4.5
- Qwen3.5-122B-A10B vs Gemini 2.5 Flash
- Qwen3.5-122B-A10B vs Kimi K2 0905
Our take
Qwen3.6 35B A3B is 1.9x cheaper for a typical chat. Qwen3.6 35B A3B scores higher on the Artificial Analysis Intelligence Index (18.2 vs 17.7). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.6 35B A3B or Qwen3.5-122B-A10B cheaper?
Qwen3.6 35B A3B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.6 35B A3B costs $0.15 per 1M input tokens and $1 per 1M output tokens, while Qwen3.5-122B-A10B costs $0.26 per 1M input tokens and $2.08 per 1M output tokens.
Which has a bigger context window, Qwen3.6 35B A3B or Qwen3.5-122B-A10B?
Qwen3.6 35B A3B supports up to 262K tokens of context, compared with 262K for Qwen3.5-122B-A10B.
Is Qwen3.6 35B A3B smarter than Qwen3.5-122B-A10B?
On the Artificial Analysis Intelligence Index, Qwen3.6 35B A3B scores 18.2 and Qwen3.5-122B-A10B scores 17.7, putting Qwen3.6 35B A3B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.6 35B A3B and Qwen3.5-122B-A10B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.6 35B A3B and Qwen3.5-122B-A10B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.6 35B A3B and Qwen3.5-122B-A10B at the same time. Compare the answers side by side and keep the best one.