Perceptron Mk1 vs MiniMax-M2 Her vs CoBuddy
Too close to call on our weighted score (CoBuddy 46, Perceptron Mk1 45, MiniMax-M2 Her 43). The right pick depends on what you value most.
Perceptron
Perceptron Mk1
45/100- ECI—
- Price$0.15 / $1.50
- Context33K
MiniMaxMiniMax-M2 Her
43/100- ECI—
- Price$0.30 / $1.20
- Context66K
BaiduCoBuddy
46/100- ECI—
- Price$0.28 / $1.13
- Context131K
Too close to call
It is close. Our weighted score puts them within 2 points (CoBuddy 46/100, Perceptron Mk1 45/100, MiniMax-M2 Her 43/100), so choose by what matters most for your work: Perceptron Mk1 on price and CoBuddy for long inputs. 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 · MiniMax-M2 Her $0.525 per 1M tokens (3:1 blend)
- Longest contextCoBuddyCoBuddy 131,072 · MiniMax-M2 Her 65,536 · Perceptron Mk1 32,768 tokens
- Widest inputsPerceptron Mk1Perceptron Mk1: Text, Images, Video · MiniMax-M2 Her: Text · CoBuddy: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Perceptron Mk1 | MiniMax-M2 Her | CoBuddy |
|---|---|---|---|---|
| Price | 50% | 62 | 60 | 62 |
| Inputs & features | 30% | 45 | 35 | 35 |
| Context window | 20% | 0 | 12 | 25 |
| Overall | 100% | 45/100 | 43/100 | 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 | MiniMax-M2 HerMiniMax | 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 | — | — | — |
| 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 | Median of 3 providers | Median of 1 providers |
| Limits | |||
| Context window | 32,768 tokens | 65,536 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 2,048 tokens | 65,536 tokens (best) |
| 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 | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | 3 (best) | 3 (best) | 1 |
| Released | May 12, 2026 | Jan 23, 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
- MiniMax-M2 Her$5.40
- CoBuddy$5.06
Which should you choose?
Which is better: Perceptron Mk1, MiniMax-M2 Her or CoBuddy?
It is close. Our weighted score puts them within 2 points (CoBuddy 46/100, Perceptron Mk1 45/100, MiniMax-M2 Her 43/100), so choose by what matters most for your work: Perceptron Mk1 on price and CoBuddy for long inputs. 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, MiniMax-M2 Her 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); MiniMax-M2 Her costs $0.30 input / $1.20 output per million tokens (median across 3 API providers). 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 MiniMax-M2 Her (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, MiniMax-M2 Her 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, MiniMax-M2 Her 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?
CoBuddy has the largest context window at 131,072 tokens, against 65,536 for MiniMax-M2 Her and 32,768 for Perceptron Mk1. Maximum output per response: Perceptron Mk1 up to 8,192, MiniMax-M2 Her up to 2,048, CoBuddy up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Perceptron Mk1 accepts text, images and video; MiniMax-M2 Her accepts text; CoBuddy accepts text. Perceptron Mk1 handles the widest range of inputs.
Are any of these open source?
No. Perceptron Mk1, MiniMax-M2 Her and CoBuddy are proprietary and only available through APIs and apps.
Which is newer?
Perceptron Mk1 is the newest, released May 12, 2026. CoBuddy came out May 6, 2026; MiniMax-M2 Her came out Jan 23, 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.
