Qwen3.5 4B vs Hy-MT2-1.8B
Qwen3.5 4B comes out ahead, 78 to 49 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen3.5 4B
78/100- ECI—
- Price$0.04 / $0.07
- Context262K
TencentHy-MT2-1.8B
49/100- ECI—
- Price$0.044 / $0.177
- Context8K
Add a model
Make it a three-way comparison.
Qwen3.5 4B is our pick
Qwen3.5 4B is the better all-round choice, scoring 78/100 against Hy-MT2-1.8B (49). It leads on price, inputs & features and context window. 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 priceQwen3.5 4BQwen3.5 4B $0.048 · Hy-MT2-1.8B $0.077 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 4BQwen3.5 4B 262,144 · Hy-MT2-1.8B 8,192 tokens
- Widest inputsQwen3.5 4BQwen3.5 4B: Text, Images, Video · Hy-MT2-1.8B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.5 4B | Hy-MT2-1.8B |
|---|---|---|---|
| Price | 50% | 100 | 98 |
| Inputs & features | 30% | 70 | 0 |
| Context window | 20% | 37 | 0 |
| Overall | 100% | 78/100 | 49/100 |
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 | Qwen3.5 4BAlibaba (Qwen) | Hy-MT2-1.8BTencent |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 55.8% | — |
| Price per million tokens | ||
| Input | $0.04 (best) | $0.044 |
| Output | $0.07 (best) | $0.177 |
| Cached input | — | — |
| Blended (3:1) | $0.048 (best) | $0.077 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 3 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 8,192 tokens |
| Max output | 81,920 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | No |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache-2.0 | Open |
| API model ID | — | — |
| API providers | 5 (best) | 3 |
| Released | Mar 2, 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.
- Qwen3.5 4B$0.54
- Hy-MT2-1.8B$0.794
Which should you choose?
Which is better: Qwen3.5 4B or Hy-MT2-1.8B?
Qwen3.5 4B is the better all-round choice, scoring 78/100 against Hy-MT2-1.8B (49). It leads on price, inputs & features and context window. 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, Qwen3.5 4B or Hy-MT2-1.8B?
Qwen3.5 4B is cheaper at $0.04 input / $0.07 output per million tokens (median across 3 API providers). Hy-MT2-1.8B costs $0.044 input / $0.177 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.048 per million tokens for Qwen3.5 4B versus $0.077 for Hy-MT2-1.8B (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3.5 4B has not been scored yet and Hy-MT2-1.8B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 4B and Hy-MT2-1.8B 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 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3.5 4B has the largest context window at 262,144 tokens, against 8,192 for Hy-MT2-1.8B. Maximum output per response: Qwen3.5 4B up to 81,920, Hy-MT2-1.8B up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 4B accepts text, images and video; Hy-MT2-1.8B accepts text. Qwen3.5 4B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Hy-MT2-1.8B is the newest, released May 21, 2026. Qwen3.5 4B came out Mar 2, 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.
