Macaron V1 Tall vs MiMo-V2.6-Pro
MiMo-V2.6-Pro comes out ahead, 69 to 55 on our weighted score.
Mindlab
Macaron V1 Tall
55/100- ECI—
- Price$0.247 / $1.43
- Context262K
- Our pick
XiaomiMiMo-V2.6-Pro
69/100- ECI—
- Price$0.435 / $0.87
- Context1.05M
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Make it a three-way comparison.
MiMo-V2.6-Pro is our pick
MiMo-V2.6-Pro is the better all-round choice, scoring 69/100 against Macaron V1 Tall (55). It leads on 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 priceMacaron V1 TallMacaron V1 Tall $0.543 · MiMo-V2.6-Pro $0.544 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-ProMiMo-V2.6-Pro 1,048,576 · Macaron V1 Tall 262,144 tokens
- Widest inputsMiMo-V2.6-ProMacaron V1 Tall: Text, Images · MiMo-V2.6-Pro: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Macaron V1 Tall | MiMo-V2.6-Pro |
|---|---|---|---|
| Price | 50% | 60 | 60 |
| Inputs & features | 30% | 60 | 90 |
| Context window | 20% | 37 | 61 |
| Overall | 100% | 55/100 | 69/100 |
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 | Macaron V1 TallMindlab | MiMo-V2.6-ProXiaomi |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.247 (best) | $0.435 |
| Output | $1.43 | $0.87 (best) |
| Cached input | — | $0.0036 |
| Blended (3:1) | $0.543 (best) | $0.544 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Xiaomi API |
| Limits | ||
| Context window | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenMIT | Open |
| API model ID | — | mimo-v2.6-pro |
| API providers | 1 | 21 (best) |
| Released | Jul 21, 2026 | Sep 22, 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.
- Macaron V1 Tall$5.33
- MiMo-V2.6-Pro$6.09
Which should you choose?
Which is better: Macaron V1 Tall or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the better all-round choice, scoring 69/100 against Macaron V1 Tall (55). It leads on 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, Macaron V1 Tall or MiMo-V2.6-Pro?
Macaron V1 Tall is cheaper at $0.247 input / $1.43 output per million tokens (median across 1 API provider). MiMo-V2.6-Pro costs $0.435 input / $0.87 output per million tokens (official Xiaomi API price). At a typical mix of three input tokens to one output token, that is $0.543 per million tokens for Macaron V1 Tall versus $0.544 for MiMo-V2.6-Pro (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Macaron V1 Tall has not been scored yet and MiMo-V2.6-Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Macaron V1 Tall and MiMo-V2.6-Pro 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-V2.6-Pro has the largest context window at 1,048,576 tokens, against 262,144 for Macaron V1 Tall. Maximum output per response: Macaron V1 Tall up to 32,768, MiMo-V2.6-Pro up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Macaron V1 Tall accepts text and images; MiMo-V2.6-Pro accepts text, images, audio and video. MiMo-V2.6-Pro handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (MIT), so you can self-host them.
Which is newer?
MiMo-V2.6-Pro is the newest, released Sep 22, 2026. Macaron V1 Tall came out Jul 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.
