MiMo-V2-Pro vs Macaron V1 Venti
Too close to call on our weighted score (Macaron V1 Venti 44, MiMo-V2-Pro 42). The right pick depends on what you value most.
XiaomiMiMo-V2-Pro
42/100- ECI—
- Price$1.00 / $3.00
- Context1.05M
Mindlab
Macaron V1 Venti
44/100- ECI—
- Price$0.825 / $2.48
- Context1.05M
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Macaron V1 Venti 44/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Macaron V1 Venti 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 priceMacaron V1 VentiMacaron V1 Venti $1.24 · MiMo-V2-Pro $1.50 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMiMo-V2-Pro 1,048,576 · Macaron V1 Venti 1,048,576 tokens
- Widest inputsSame inputsMiMo-V2-Pro: Text · Macaron V1 Venti: Text
- Self-hostingMacaron V1 VentiPublishes downloadable weights (MIT)
| Measure | Weight | MiMo-V2-Pro | Macaron V1 Venti |
|---|---|---|---|
| Price | 50% | 40 | 44 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 61 | 61 |
| Overall | 100% | 42/100 | 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 | MiMo-V2-ProXiaomi | Macaron V1 VentiMindlab |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.00 | $0.825 (best) |
| Output | $3.00 | $2.48 (best) |
| Cached input | — | — |
| Blended (3:1) | $1.50 | $1.24 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 1 providers |
| Limits | ||
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | OpenMIT |
| API model ID | — | — |
| API providers | 2 (best) | 1 |
| Released | Mar 18, 2026 | Jul 21, 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.
- MiMo-V2-Pro$16.00
- Macaron V1 Venti$13.20
Which should you choose?
Which is better: MiMo-V2-Pro or Macaron V1 Venti?
It is close. Our weighted score puts them within 2 points (Macaron V1 Venti 44/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Macaron V1 Venti 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, MiMo-V2-Pro or Macaron V1 Venti?
Macaron V1 Venti is cheaper at $0.825 input / $2.48 output per million tokens (median across 1 API provider). MiMo-V2-Pro costs $1.00 input / $3.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.24 per million tokens for Macaron V1 Venti versus $1.50 for MiMo-V2-Pro (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiMo-V2-Pro has not been scored yet and Macaron V1 Venti has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiMo-V2-Pro and Macaron V1 Venti 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-Pro and Macaron V1 Venti share the same 1,048,576-token context window. Maximum output per response: MiMo-V2-Pro up to 131,072, Macaron V1 Venti up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2-Pro accepts text; Macaron V1 Venti accepts text. They handle the same number of input types.
Are any of these open source?
Macaron V1 Venti publishes its weights (MIT) and can be self-hosted; MiMo-V2-Pro is proprietary.
Which is newer?
Macaron V1 Venti is the newest, released Jul 21, 2026. MiMo-V2-Pro came out Mar 18, 2026. Knowledge cutoff: MiMo-V2-Pro 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 Nov 2, 2026.
