AI model comparison
Hy3 vs Qwen3.5-35B-A3B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Tencent
Hy3
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use.
- Input / 1M
- $0.13
- Output / 1M
- $0.53
- Context
- 262K
Qwen
Qwen3.5-35B-A3B
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency.
- Input / 1M
- $0.08
- Output / 1M
- $0.75
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hy3
1.0x cheaper for a typical chat
Higher intelligence score
Hy3
25.3 vs 19.3 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Hy3
Released July 6, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-35B-A3B19.3Coding index
Qwen3.5-35B-A3BNot availableAgentic index
Qwen3.5-35B-A3BNot availablePricing
Hy3 vs Qwen3.5-35B-A3B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-35B-A3B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.13 | $0.08 |
| Output tokensPer 1M tokens | $0.53 | $0.75 |
| Cached input (read)Per 1M tokens | $0.03 | $0.04 |
| 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
Qwen3.5-35B-A3B$0.54Coding task
30K in, 4K out
Qwen3.5-35B-A3B$5.40$4.20 cachedLong document summary
150K in, 2K out
Qwen3.5-35B-A3B$13.50$7.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-35B-A3B | |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 128K tokens | 33K tokens |
| Input types | Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Low, None | Not available |
| Default reasoning effort | High | Not available |
| Release date | July 6, 2026 | February 25, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-35B-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 | 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.
- Hy3 vs DeepSeek V4.1 Flash
- Hy3 vs GLM 5.3 Flash
- Hy3 vs MiMo-V2.6-Flash
- Hy3 vs Hy4 preview
- Hy3 vs Step 5 Preview
- Hy3 vs GPT-6 Luna
- Hy3 vs DeepSeek V4 Flash 0731
- Hy3 vs Claude Opus 5.5
- Hy3 vs GLM 5.3
- Hy3 vs DeepSeek V4 Flash 0423
- Hy3 vs Claude Sonnet 5.5
- Hy3 vs Muse Spark 1.3 Contributor
- Hy3 vs MiniMax M3
- Hy3 vs Solar Mini 4
- Hy3 vs Solar Pro 4
- Hy3 vs DeepSeek V4 Pro 0423
- Hy3 vs MiMo-V2.5
- Hy3 vs Qwen3.8 Flash
- Hy3 vs GPT-6 Luna Pro
- Hy3 vs DeepSeek V3.2
- Hy3 vs MiMo-V2.5-Pro
- Hy3 vs Ling 3.0 Flash
- Hy3 vs Qwen3.7 Plus
- Hy3 vs Ling 3.0 Flash VL
- Hy3 vs MiniMax M2.7
- Hy3 vs GLM 5
- Hy3 vs Grok Build 0.1
- Hy3 vs Qwen3.6 Plus
- Hy3 vs Grok 4.20
- Hy3 vs Grok 4.3
- Hy3 vs Inkling Small
- Hy3 vs MiniMax M2.5
- Hy3 vs Ling 3.0 Flash Fin
Qwen3.5-35B-A3BView full model details- Qwen3.5-35B-A3B vs DeepSeek V4 Flash 0423
- Qwen3.5-35B-A3B vs MiniMax M2.7
- Qwen3.5-35B-A3B vs DeepSeek V3.2
- Qwen3.5-35B-A3B vs GPT-5.4 Nano
- Qwen3.5-35B-A3B vs Step 3.7 Flash
- Qwen3.5-35B-A3B vs LongCat 2.0
- Qwen3.5-35B-A3B vs Qwen3.6 35B A3B
- Qwen3.5-35B-A3B vs Qwen3.5-122B-A10B
- Qwen3.5-35B-A3B vs Muse Glimmer 30B
Our take
Hy3 is 1.0x cheaper for a typical chat. Hy3 scores higher on the Artificial Analysis Intelligence Index (25.3 vs 19.3). 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 Hy3 or Qwen3.5-35B-A3B cheaper?
Hy3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy3 costs $0.13 per 1M input tokens and $0.53 per 1M output tokens, while Qwen3.5-35B-A3B costs $0.08 per 1M input tokens and $0.75 per 1M output tokens.
Which has a bigger context window, Hy3 or Qwen3.5-35B-A3B?
Hy3 supports up to 262K tokens of context, compared with 262K for Qwen3.5-35B-A3B.
Is Hy3 smarter than Qwen3.5-35B-A3B?
On the Artificial Analysis Intelligence Index, Hy3 scores 25.3 and Qwen3.5-35B-A3B scores 19.3, putting Hy3 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Hy3 and Qwen3.5-35B-A3B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Hy3 and Qwen3.5-35B-A3B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Hy3 and Qwen3.5-35B-A3B at the same time. Compare the answers side by side and keep the best one.