Perceptron Mk1.5 vs MiMo-V2.6-Pro vs LongCat-2.5-Preview
MiMo-V2.6-Pro comes out ahead, 69 to 60 and 55 on our weighted score, though Perceptron Mk1.5 is 8% cheaper per token.
Perceptron
Perceptron Mk1.5
55/100- ECI—
- Price$0.154 / $1.54
- Context37K
- Our pick
XiaomiMiMo-V2.6-Pro
69/100- ECI—
- Price$0.435 / $0.87
- Context1.05M
Meituan (LongCat)LongCat-2.5-Preview
60/100- ECI—
- Price$0.30 / $1.20
- Context1M
MiMo-V2.6-Pro is our pick
MiMo-V2.6-Pro is the better all-round choice, scoring 69/100 against LongCat-2.5-Preview (60) and Perceptron Mk1.5 (55). It leads on inputs & features. 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 pricePerceptron Mk1.5Perceptron Mk1.5 $0.502 · LongCat-2.5-Preview $0.525 · MiMo-V2.6-Pro $0.544 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-ProMiMo-V2.6-Pro 1,048,576 · LongCat-2.5-Preview 1,000,000 · Perceptron Mk1.5 36,864 tokens
- Widest inputsPerceptron Mk1.5 and MiMo-V2.6-ProPerceptron Mk1.5: Text, Images, Audio, Video · MiMo-V2.6-Pro: Text, Images, Audio, Video · LongCat-2.5-Preview: Text, Images
- Self-hostingMiMo-V2.6-ProPublishes downloadable weights
| Measure | Weight | Perceptron Mk1.5 | MiMo-V2.6-Pro | LongCat-2.5-Preview |
|---|---|---|---|---|
| Price | 50% | 61 | 60 | 60 |
| Inputs & features | 30% | 80 | 90 | 60 |
| Context window | 20% | 2 | 61 | 60 |
| Overall | 100% | 55/100 | 69/100 | 60/100 |
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 | Perceptron Mk1.5Perceptron | MiMo-V2.6-ProXiaomi | LongCat-2.5-PreviewMeituan (LongCat) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.154 (best) | $0.435 | $0.30 |
| Output | $1.54 | $0.87 (best) | $1.20 |
| Cached input | — | $0.0036 (best) | $0.006 |
| Blended (3:1) | $0.502 (best) | $0.544 | $0.525 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Xiaomi API | Official LongCat API |
| Limits | |||
| Context window | 36,864 tokens | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 8,192 tokens | 131,072 tokens (best) | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | Yes | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | mimo-v2.6-pro | LongCat-2.5-Preview |
| API providers | 2 | 21 (best) | 4 |
| Released | Sep 25, 2026 | Sep 22, 2026 | Sep 25, 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.
- Perceptron Mk1.5$4.63
- MiMo-V2.6-Pro$6.09
- LongCat-2.5-Preview$5.40
Which should you choose?
Which is better: Perceptron Mk1.5, MiMo-V2.6-Pro or LongCat-2.5-Preview?
MiMo-V2.6-Pro is the better all-round choice, scoring 69/100 against LongCat-2.5-Preview (60) and Perceptron Mk1.5 (55). It leads on inputs & features. 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, Perceptron Mk1.5, MiMo-V2.6-Pro or LongCat-2.5-Preview?
Perceptron Mk1.5 is cheaper at $0.154 input / $1.54 output per million tokens (median across 2 API providers). LongCat-2.5-Preview costs $0.30 input / $1.20 output per million tokens (official LongCat API price); 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 $0.502 per million tokens for Perceptron Mk1.5 versus $0.525 for LongCat-2.5-Preview (1× as much) and $0.544 for MiMo-V2.6-Pro (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Perceptron Mk1.5 has not been scored yet, MiMo-V2.6-Pro has not been scored yet and LongCat-2.5-Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Perceptron Mk1.5, MiMo-V2.6-Pro and LongCat-2.5-Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three 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 1,000,000 for LongCat-2.5-Preview and 36,864 for Perceptron Mk1.5. Maximum output per response: Perceptron Mk1.5 up to 8,192, MiMo-V2.6-Pro up to 131,072, LongCat-2.5-Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Perceptron Mk1.5 accepts text, images, audio and video; MiMo-V2.6-Pro accepts text, images, audio and video; LongCat-2.5-Preview accepts text and images. Perceptron Mk1.5 handles the widest range of inputs.
Are any of these open source?
MiMo-V2.6-Pro publishes its weights and can be self-hosted; Perceptron Mk1.5 and LongCat-2.5-Preview is proprietary.
Which is newer?
Perceptron Mk1.5 is the newest, released Sep 25, 2026. LongCat-2.5-Preview came out Sep 25, 2026; MiMo-V2.6-Pro came out Sep 22, 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.
