Hy-MT2-7B vs Hy-MT2-30B-A3B
Too close to call on our weighted score (Hy-MT2-7B 44, Hy-MT2-30B-A3B 44). The right pick depends on what you value most.
Tencent
Hy-MT2-7B
44/100- ECI—
- Price$0.074 / $0.295
- Context8K
Tencent
Hy-MT2-30B-A3B
44/100- ECI—
- Price$0.074 / $0.295
- Context8K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Hy-MT2-7B 44/100, Hy-MT2-30B-A3B 44/100), so choose by what matters most for your work: Hy-MT2-7B on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSame priceHy-MT2-7B $0.129 · Hy-MT2-30B-A3B $0.129 per 1M tokens (3:1 blend)
- Longest contextAbout the sameHy-MT2-7B 8,192 · Hy-MT2-30B-A3B 8,192 tokens
- Widest inputsSame inputsHy-MT2-7B: Text · Hy-MT2-30B-A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Hy-MT2-7B | Hy-MT2-30B-A3B |
|---|---|---|---|
| Price | 50% | 88 | 88 |
| Inputs & features | 30% | 0 | 0 |
| Context window | 20% | 0 | 0 |
| Overall | 100% | 44/100 | 44/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.074 | $0.074 |
| Output | $0.295 | $0.295 |
| Cached input | — | — |
| Blended (3:1) | $0.129 | $0.129 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 3 providers |
| Limits | ||
| Context window | 8,192 tokens | 8,192 tokens |
| Max output | 4,096 tokens | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | — |
| API providers | 3 | 3 |
| Released | May 21, 2026 | May 21, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Hy-MT2-7B$1.33
Hy-MT2-30B-A3B$1.33
Which should you choose?
Which is better: Hy-MT2-7B or Hy-MT2-30B-A3B?
It is close. Our weighted score puts them within a point (Hy-MT2-7B 44/100, Hy-MT2-30B-A3B 44/100), so choose by what matters most for your work: Hy-MT2-7B on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Hy-MT2-7B or Hy-MT2-30B-A3B?
Hy-MT2-7B and Hy-MT2-30B-A3B cost the same: $0.074 input / $0.295 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Hy-MT2-7B has not been scored yet and Hy-MT2-30B-A3B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Hy-MT2-7B and Hy-MT2-30B-A3B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Hy-MT2-7B and Hy-MT2-30B-A3B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Hy-MT2-7B and Hy-MT2-30B-A3B share the same 8,192-token context window. Maximum output per response: Hy-MT2-7B up to 4,096, Hy-MT2-30B-A3B up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Hy-MT2-7B accepts text; Hy-MT2-30B-A3B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Hy-MT2-7B is the newest, released May 21, 2026. Hy-MT2-30B-A3B came out May 21, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.