AI model comparison
Hy3 vs Gemma 4 31B
Side by side comparison of Hy3 and Gemma 4 31B on pricing, benchmark scores, context window, and more.
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
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.
- Input / 1M
- $0.20
- Output / 1M
- $0.40
- 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
Hy3
1.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
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
Gemma 4 31BNot availableCoding index
Gemma 4 31B43.4Agentic index
Gemma 4 31B4.2Pricing
Hy3 vs Gemma 4 31B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemma 4 31B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.13 | $0.20 |
| Output tokensPer 1M tokens | $0.53 | $0.40 |
| Cached input (read)Per 1M tokens | $0.03 | 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
Gemma 4 31B$0.60Coding task
30K in, 4K out
Gemma 4 31B$7.60Long document summary
150K in, 2K out
Gemma 4 31B$30.80Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemma 4 31B | |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 128K tokens | 16K 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 | April 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemma 4 31B | |
|---|---|---|
| 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.
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Our take
Hy3 is 1.1x cheaper for a typical chat. 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 Gemma 4 31B 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 Gemma 4 31B costs $0.20 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, Hy3 or Gemma 4 31B?
Hy3 supports up to 262K tokens of context, compared with 262K for Gemma 4 31B.
Can I use Hy3 and Gemma 4 31B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Hy3 and Gemma 4 31B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Hy3 and Gemma 4 31B at the same time. Compare the answers side by side and keep the best one.