AI model comparison
Hy3 vs DeepSeek V4 Pro 0423
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
- $0.08
- Output / 1M
- $0.33
- Context
- 262K
DeepSeek
DeepSeek V4 Pro 0423
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.21
- Output / 1M
- $0.42
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hy3
1.9x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Pro 0423
30.4 vs 25.3 on Artificial Analysis
Larger context window
DeepSeek V4 Pro 0423
1.05M vs 262K tokens
Newer release
Hy3
Released July 6, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Pro 042330.4Coding index
DeepSeek V4 Pro 042359.4Agentic index
DeepSeek V4 Pro 042326.3Pricing
Hy3 vs DeepSeek V4 Pro 0423 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Pro 0423 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.08 | $0.21 |
| Output tokensPer 1M tokens | $0.33 | $0.42 |
| Cached input (read)Per 1M tokens | $0.02 | $0.02 |
| 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
DeepSeek V4 Pro 0423$0.63Coding task
30K in, 4K out
DeepSeek V4 Pro 0423$7.93$2.19 cachedLong document summary
150K in, 2K out
DeepSeek V4 Pro 0423$32.16$3.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4 Pro 0423 | |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 128K tokens | 384K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Low, None | Extra high, High |
| Default reasoning effort | High | High |
| Release date | July 6, 2026 | April 24, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Pro 0423 | |
|---|---|---|
| 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
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- Hy3 vs MiMo-V2.6-Flash
- Hy3 vs Hy4 preview
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- 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 Step 5 Preview
- Hy3 vs Gemini 3.8 Flash
- Hy3 vs Muse Spark 1.3 Contributor
- Hy3 vs MiniMax M3
- Hy3 vs Solar Mini 4
- Hy3 vs MiMo-V2.5
- Hy3 vs Solar Pro 4
- Hy3 vs GPT-6 Luna Pro
- Hy3 vs Qwen3.8 Flash
- Hy3 vs Qwen3.7 Flash
- Hy3 vs Gemma 4 26B A4B
- Hy3 vs DeepSeek V3.2
- Hy3 vs MiMo-V2.5-Pro
- Hy3 vs Ling 3.0 Flash
- Hy3 vs Qwen3.7 Plus
- Hy3 vs MiniMax M2.7
- Hy3 vs Ling 3.0 Flash VL
- Hy3 vs Inkling Small
- Hy3 vs MiniMax M2.5
- Hy3 vs Ling 3.0 Flash Fin
- Hy3 vs Step 3.5 Flash
DeepSeek V4 Pro 0423View full model details- DeepSeek V4 Pro 0423 vs DeepSeek V4.1 Flash
- DeepSeek V4 Pro 0423 vs MiMo-V2.6-Flash
- DeepSeek V4 Pro 0423 vs GPT-6 Luna
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0423
- DeepSeek V4 Pro 0423 vs MiniMax M3
- DeepSeek V4 Pro 0423 vs Solar Mini 4
- DeepSeek V4 Pro 0423 vs MiMo-V2.5
- DeepSeek V4 Pro 0423 vs Solar Pro 4
- DeepSeek V4 Pro 0423 vs Qwen3.8 Flash
- DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4 Pro 0423 vs DeepSeek V3.2
- DeepSeek V4 Pro 0423 vs Ling 3.0 Flash VL
Our take
Hy3 is 1.9x cheaper for a typical chat. DeepSeek V4 Pro 0423 scores higher on the Artificial Analysis Intelligence Index (30.4 vs 25.3). DeepSeek V4 Pro 0423 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 Hy3 or DeepSeek V4 Pro 0423 cheaper?
Hy3 is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy3 costs $0.08 per 1M input tokens and $0.33 per 1M output tokens, while DeepSeek V4 Pro 0423 costs $0.21 per 1M input tokens and $0.42 per 1M output tokens.
Which has a bigger context window, Hy3 or DeepSeek V4 Pro 0423?
DeepSeek V4 Pro 0423 supports up to 1.05M tokens of context, compared with 262K for Hy3.
Is Hy3 smarter than DeepSeek V4 Pro 0423?
On the Artificial Analysis Intelligence Index, Hy3 scores 25.3 and DeepSeek V4 Pro 0423 scores 30.4, putting DeepSeek V4 Pro 0423 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Hy3 and DeepSeek V4 Pro 0423 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Hy3 and DeepSeek V4 Pro 0423 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Hy3 and DeepSeek V4 Pro 0423 at the same time. Compare the answers side by side and keep the best one.