AI model comparison
Hy4 vs Qwen3.6 35B A3B
Side by side comparison of Hy4 and Qwen3.6 35B A3B on pricing, benchmark scores, context window, and more.
The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity
- Input / 1M
- $0.42
- Output / 1M
- $1.25
- Context
- 1.05M
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
- $0.10
- Output / 1M
- $0.90
- Context
- 262K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.6 35B A3B
2.2x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Hy4
1.05M vs 262K tokens
Newer release
Hy4
Released November 4, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.6 35B A3BNot availableCoding index
Qwen3.6 35B A3B41.9Agentic index
Qwen3.6 35B A3B13.1Pricing
Hy4 vs Qwen3.6 35B A3B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.6 35B A3B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.42 | $0.10 |
| Output tokensPer 1M tokens | $1.25 | $0.90 |
| Cached input (read)Per 1M tokens | $0.02 | $0.03 |
| 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$0.65Coding task
30K in, 4K out
Qwen3.6 35B A3B$6.60$4.35 cachedLong document summary
150K in, 2K out
Qwen3.6 35B A3B$16.80$5.55 cachedSpecs
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 | |
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 66K tokens | 236K tokens |
| Input types | Image, Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Low, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | November 4, 2026 | April 27, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.6 35B A3B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Not 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 V4.1 Flash 1017
- Qwen3.6 35B A3B vs DeepSeek V4.1 Flash
- Qwen3.6 35B A3B vs GPT-6 Luna
- Qwen3.6 35B A3B vs Step 5 Preview
- Qwen3.6 35B A3B vs GPT-5.6 Luna
- Qwen3.6 35B A3B vs Claude Haiku 5.5
- Qwen3.6 35B A3B vs MiMo-V2.6-Pro
- Qwen3.6 35B A3B vs Qwen3.8 Flash
- Qwen3.6 35B A3B vs Qwen3.8 27B
Our take
Qwen3.6 35B A3B is 2.2x cheaper for a typical chat. Hy4 has the larger context window (1.05M vs 262K tokens). 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 Hy4 or Qwen3.6 35B A3B cheaper?
Qwen3.6 35B A3B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.6 35B A3B costs $0.10 per 1M input tokens and $0.90 per 1M output tokens, while Hy4 costs $0.42 per 1M input tokens and $1.25 per 1M output tokens.
Which has a bigger context window, Hy4 or Qwen3.6 35B A3B?
Hy4 supports up to 1.05M tokens of context, compared with 262K for Qwen3.6 35B A3B.
Can I use Hy4 and Qwen3.6 35B A3B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Hy4 and Qwen3.6 35B A3B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Hy4 and Qwen3.6 35B A3B at the same time. Compare the answers side by side and keep the best one.