Perceptron Mk1 vs LongCat-2.0 vs CoBuddy
LongCat-2.0 comes out ahead, 53 to 46 and 45 on our weighted score, though Perceptron Mk1 is 7% cheaper per token.
Perceptron
Perceptron Mk1
45/100- ECI—
- Price$0.15 / $1.50
- Context33K
- Our pick
Meituan (LongCat)LongCat-2.0
53/100- ECI—
- Price$0.30 / $1.20
- Context1M
BaiduCoBuddy
46/100- ECI—
- Price$0.28 / $1.13
- Context131K
LongCat-2.0 is our pick
LongCat-2.0 is the better all-round choice, scoring 53/100 against CoBuddy (46) and Perceptron Mk1 (45). It leads on context window. Perceptron Mk1 wins 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 Mk1Perceptron Mk1 $0.487 · CoBuddy $0.492 · LongCat-2.0 $0.525 per 1M tokens (3:1 blend)
- Longest contextLongCat-2.0LongCat-2.0 1,000,000 · CoBuddy 131,072 · Perceptron Mk1 32,768 tokens
- Widest inputsPerceptron Mk1Perceptron Mk1: Text, Images, Video · LongCat-2.0: Text · CoBuddy: Text
- Self-hostingLongCat-2.0Publishes downloadable weights
| Measure | Weight | Perceptron Mk1 | LongCat-2.0 | CoBuddy |
|---|---|---|---|---|
| Price | 50% | 62 | 60 | 62 |
| Inputs & features | 30% | 45 | 35 | 35 |
| Context window | 20% | 0 | 60 | 25 |
| Overall | 100% | 45/100 | 53/100 | 46/100 |
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 Mk1Perceptron | LongCat-2.0Meituan (LongCat) | CoBuddyBaidu |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $0.30 | $0.28 |
| Output | $1.50 | $1.20 | $1.13 (best) |
| Cached input | — | $0.006 | — |
| Blended (3:1) | $0.487 (best) | $0.525 | $0.492 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official LongCat API | Median of 1 providers |
| Limits | |||
| Context window | 32,768 tokens | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | LongCat-2.0 | — |
| API providers | 3 | 7 (best) | 1 |
| Released | May 12, 2026 | Jun 30, 2026 | May 6, 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$4.50
- LongCat-2.0$5.40
- CoBuddy$5.06
Which should you choose?
Which is better: Perceptron Mk1, LongCat-2.0 or CoBuddy?
LongCat-2.0 is the better all-round choice, scoring 53/100 against CoBuddy (46) and Perceptron Mk1 (45). It leads on context window. Perceptron Mk1 wins 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, LongCat-2.0 or CoBuddy?
Perceptron Mk1 is cheaper at $0.15 input / $1.50 output per million tokens (median across 3 API providers). CoBuddy costs $0.28 input / $1.13 output per million tokens (median across 1 API provider); LongCat-2.0 costs $0.30 input / $1.20 output per million tokens (official LongCat API price). At a typical mix of three input tokens to one output token, that is $0.487 per million tokens for Perceptron Mk1 versus $0.492 for CoBuddy (1× as much) and $0.525 for LongCat-2.0 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Perceptron Mk1 has not been scored yet, LongCat-2.0 has not been scored yet and CoBuddy has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Perceptron Mk1, LongCat-2.0 and CoBuddy yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Perceptron Mk1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
LongCat-2.0 has the largest context window at 1,000,000 tokens, against 131,072 for CoBuddy and 32,768 for Perceptron Mk1. Maximum output per response: Perceptron Mk1 up to 8,192, LongCat-2.0 up to 131,072, CoBuddy up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Perceptron Mk1 accepts text, images and video; LongCat-2.0 accepts text; CoBuddy accepts text. Perceptron Mk1 handles the widest range of inputs.
Are any of these open source?
LongCat-2.0 publishes its weights and can be self-hosted; Perceptron Mk1 and CoBuddy is proprietary.
Which is newer?
LongCat-2.0 is the newest, released Jun 30, 2026. Perceptron Mk1 came out May 12, 2026; CoBuddy came out May 6, 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.
