LongCat-2.0 vs Perceptron Mk1
LongCat-2.0 comes out ahead, 53 to 45 on our weighted score, though Perceptron Mk1 is 7% cheaper per token.
- Our pick
Meituan (LongCat)LongCat-2.0
53/100- ECI—
- Price$0.30 / $1.20
- Context1M
Perceptron
Perceptron Mk1
45/100- ECI—
- Price$0.15 / $1.50
- Context33K
Add a model
Make it a three-way comparison.
LongCat-2.0 is our pick
LongCat-2.0 is the better all-round choice, scoring 53/100 against 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 · LongCat-2.0 $0.525 per 1M tokens (3:1 blend)
- Longest contextLongCat-2.0LongCat-2.0 1,000,000 · Perceptron Mk1 32,768 tokens
- Widest inputsPerceptron Mk1LongCat-2.0: Text · Perceptron Mk1: Text, Images, Video
- Self-hostingLongCat-2.0Publishes downloadable weights
| Measure | Weight | LongCat-2.0 | Perceptron Mk1 |
|---|---|---|---|
| Price | 50% | 60 | 62 |
| Inputs & features | 30% | 35 | 45 |
| Context window | 20% | 60 | 0 |
| Overall | 100% | 53/100 | 45/100 |
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 | LongCat-2.0Meituan (LongCat) | Perceptron Mk1Perceptron |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | $0.15 (best) |
| Output | $1.20 (best) | $1.50 |
| Cached input | $0.006 | — |
| Blended (3:1) | $0.525 | $0.487 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official LongCat API | Median of 3 providers |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 32,768 tokens |
| Max output | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | LongCat-2.0 | — |
| API providers | 7 (best) | 3 |
| Released | Jun 30, 2026 | May 12, 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.
- LongCat-2.0$5.40
- Perceptron Mk1$4.50
Which should you choose?
Which is better: LongCat-2.0 or Perceptron Mk1?
LongCat-2.0 is the better all-round choice, scoring 53/100 against 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, LongCat-2.0 or Perceptron Mk1?
Perceptron Mk1 is cheaper at $0.15 input / $1.50 output per million tokens (median across 3 API providers). 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 $0.525 for LongCat-2.0 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. LongCat-2.0 has not been scored yet and Perceptron Mk1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for LongCat-2.0 and Perceptron Mk1 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 32,768 for Perceptron Mk1. Maximum output per response: LongCat-2.0 up to 131,072, Perceptron Mk1 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
LongCat-2.0 accepts text; Perceptron Mk1 accepts text, images and video. 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 is proprietary.
Which is newer?
LongCat-2.0 is the newest, released Jun 30, 2026. Perceptron Mk1 came out May 12, 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.
