Hy-MT2-1.8B vs Schematron V2 Small
Too close to call on our weighted score (Schematron V2 Small 52, Hy-MT2-1.8B 49). The right pick depends on what you value most.
TencentHy-MT2-1.8B
49/100- ECI—
- Price$0.044 / $0.177
- Context8K
Inference.net
Schematron V2 Small
52/100- ECI—
- Price$0.05 / $0.23
- Context128K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Schematron V2 Small 52/100, Hy-MT2-1.8B 49/100), so choose by what matters most for your work: Hy-MT2-1.8B on price and Schematron V2 Small for long inputs. 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 priceHy-MT2-1.8BHy-MT2-1.8B $0.077 · Schematron V2 Small $0.095 per 1M tokens (3:1 blend)
- Longest contextSchematron V2 SmallSchematron V2 Small 128,000 · Hy-MT2-1.8B 8,192 tokens
- Widest inputsSame inputsHy-MT2-1.8B: Text · Schematron V2 Small: Text
- Self-hostingHy-MT2-1.8BPublishes downloadable weights
| Measure | Weight | Hy-MT2-1.8B | Schematron V2 Small |
|---|---|---|---|
| Price | 50% | 98 | 94 |
| Inputs & features | 30% | 0 | 0 |
| Context window | 20% | 0 | 24 |
| Overall | 100% | 49/100 | 52/100 |
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 | Hy-MT2-1.8BTencent | Schematron V2 SmallInference.net |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.044 (best) | $0.05 |
| Output | $0.177 (best) | $0.23 |
| Cached input | — | — |
| Blended (3:1) | $0.077 (best) | $0.095 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 5 providers |
| Limits | ||
| Context window | 8,192 tokens | 128,000 tokens (best) |
| 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 | Proprietary |
| API model ID | — | — |
| API providers | 3 | 5 (best) |
| Released | May 21, 2026 | Apr 16, 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-MT2-1.8B$0.794
- Schematron V2 Small$0.96
Which should you choose?
Which is better: Hy-MT2-1.8B or Schematron V2 Small?
It is close. Our weighted score puts them within 3 points (Schematron V2 Small 52/100, Hy-MT2-1.8B 49/100), so choose by what matters most for your work: Hy-MT2-1.8B on price and Schematron V2 Small for long inputs. 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-MT2-1.8B or Schematron V2 Small?
Hy-MT2-1.8B is cheaper at $0.044 input / $0.177 output per million tokens (median across 3 API providers). Schematron V2 Small costs $0.05 input / $0.23 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.077 per million tokens for Hy-MT2-1.8B versus $0.095 for Schematron V2 Small (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Hy-MT2-1.8B has not been scored yet and Schematron V2 Small has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Hy-MT2-1.8B and Schematron V2 Small yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Hy-MT2-1.8B and Schematron V2 Small does not support tool calling, which most coding agents need.
Which has the bigger context window?
Schematron V2 Small has the largest context window at 128,000 tokens, against 8,192 for Hy-MT2-1.8B. Maximum output per response: Hy-MT2-1.8B up to 4,096, Schematron V2 Small up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Hy-MT2-1.8B accepts text; Schematron V2 Small accepts text. They handle the same number of input types.
Are any of these open source?
Hy-MT2-1.8B publishes its weights and can be self-hosted; Schematron V2 Small is proprietary.
Which is newer?
Hy-MT2-1.8B is the newest, released May 21, 2026. Schematron V2 Small came out Apr 16, 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.
Related comparisons
- Add DiffusionGemma 26B A4B ITThree-way comparison
- Hy-MT2-1.8B vs DiffusionGemma 26B A4B ITGoogle
- Hy-MT2-1.8B vs Ling 3.0 FlashinclusionAI
- Hy-MT2-1.8B vs Granite 4.2 8BIBM
- Schematron V2 Small vs Reka EdgeReka AI
- Schematron V2 Small vs Seed 2.0 MiniByteDance Seed
- Schematron V2 Small vs Ling 3.0 FlashinclusionAI
