Hy3 vs MiMo-V2.5
MiMo-V2.5 comes out ahead, 79 to 58 on our weighted score, and it is the cheaper option too.
MiMo-V2.5 is our pick
MiMo-V2.5 is the better all-round choice, scoring 79/100 against Hy3 (58). 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 priceMiMo-V2.5MiMo-V2.5 $0.175 · Hy3 $0.232 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.5MiMo-V2.5 1,048,576 · Hy3 256,000 tokens
- Widest inputsMiMo-V2.5Hy3: Text · MiMo-V2.5: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Hy3 | MiMo-V2.5 |
|---|---|---|---|
| Price | 50% | 80 | 86 |
| Inputs & features | 30% | 35 | 80 |
| Context window | 20% | 36 | 61 |
| Overall | 100% | 58/100 | 79/100 |
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 | $0.132 (best) | $0.14 |
| Output | $0.53 | $0.28 (best) |
| Cached input | — | $0.0028 |
| Blended (3:1) | $0.232 | $0.175 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 15 providers | Official Xiaomi API |
| Limits | ||
| Context window | 256,000 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yeshigh | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | hy3 | mimo-v2.5 |
| API providers | 18 | 21 (best) |
| Released | Jul 6, 2026 | Apr 22, 2026 |
| Knowledge cutoff | — | Dec 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Hy3$2.38
MiMo-V2.5$1.96
Which should you choose?
Which is better: Hy3 or MiMo-V2.5?
MiMo-V2.5 is the better all-round choice, scoring 79/100 against Hy3 (58). 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, Hy3 or MiMo-V2.5?
MiMo-V2.5 is cheaper at $0.14 input / $0.28 output per million tokens (official Xiaomi API price). Hy3 costs $0.132 input / $0.53 output per million tokens (median across 15 API providers; free on Tencent TokenHub). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for MiMo-V2.5 versus $0.232 for Hy3 (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Hy3 has not been scored yet and MiMo-V2.5 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Hy3 and MiMo-V2.5 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2.5 has the largest context window at 1,048,576 tokens, against 256,000 for Hy3. Maximum output per response: Hy3 up to 128,000, MiMo-V2.5 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Hy3 accepts text; MiMo-V2.5 accepts text, images, audio and video. MiMo-V2.5 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Hy3 is the newest, released Jul 6, 2026. MiMo-V2.5 came out Apr 22, 2026. Knowledge cutoff: MiMo-V2.5 Dec 2024.
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 Oct 4, 2026.