Perceptron Mk1 vs Gemini 3.1 Flash Lite vs CoBuddy
Gemini 3.1 Flash Lite comes out ahead, 72 to 46 and 45 on our weighted score, though Perceptron Mk1 is 13% cheaper per token.
Perceptron
Perceptron Mk1
45/100- ECI—
- Price$0.15 / $1.50
- Context33K
- Our pick
GoogleGemini 3.1 Flash Lite
72/100- ECI—
- Price$0.25 / $1.50
- Context1.05M
BaiduCoBuddy
46/100- ECI—
- Price$0.28 / $1.13
- Context131K
Gemini 3.1 Flash Lite is our pick
Gemini 3.1 Flash Lite is the better all-round choice, scoring 72/100 against CoBuddy (46) and Perceptron Mk1 (45). 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 pricePerceptron Mk1Perceptron Mk1 $0.487 · CoBuddy $0.492 · Gemini 3.1 Flash Lite $0.563 per 1M tokens (3:1 blend)
- Longest contextGemini 3.1 Flash LiteGemini 3.1 Flash Lite 1,048,576 · CoBuddy 131,072 · Perceptron Mk1 32,768 tokens
- Widest inputsGemini 3.1 Flash LitePerceptron Mk1: Text, Images, Video · Gemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video · CoBuddy: Text
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Perceptron Mk1 | Gemini 3.1 Flash Lite | CoBuddy |
|---|---|---|---|---|
| Price | 50% | 62 | 59 | 62 |
| Inputs & features | 30% | 45 | 100 | 35 |
| Context window | 20% | 0 | 61 | 25 |
| Overall | 100% | 45/100 | 72/100 | 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 | Gemini 3.1 Flash LiteGoogle | CoBuddyBaidu |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $0.25 | $0.28 |
| Output | $1.50 | $1.50 | $1.13 (best) |
| Cached input | — | $0.025 | — |
| Blended (3:1) | $0.487 (best) | $0.563 | $0.492 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Google API | Median of 1 providers |
| Limits | |||
| Context window | 32,768 tokens | 1,048,576 tokens (best) | 131,072 tokens |
| Max output | 8,192 tokens | 65,536 tokens (best) | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yesminimal · low · medium · high | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | gemini-3.1-flash-lite | — |
| API providers | 3 | 26 (best) | 1 |
| Released | May 12, 2026 | May 7, 2026 | May 6, 2026 |
| Knowledge cutoff | — | Jan 2025 | — |
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
- Gemini 3.1 Flash Lite$5.50
- CoBuddy$5.06
Which should you choose?
Which is better: Perceptron Mk1, Gemini 3.1 Flash Lite or CoBuddy?
Gemini 3.1 Flash Lite is the better all-round choice, scoring 72/100 against CoBuddy (46) and Perceptron Mk1 (45). 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, Perceptron Mk1, Gemini 3.1 Flash Lite 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); Gemini 3.1 Flash Lite costs $0.25 input / $1.50 output per million tokens (official Google 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 $0.563 for Gemini 3.1 Flash Lite (1.2× 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, Gemini 3.1 Flash Lite 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, Gemini 3.1 Flash Lite 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?
Gemini 3.1 Flash Lite has the largest context window at 1,048,576 tokens, against 131,072 for CoBuddy and 32,768 for Perceptron Mk1. Maximum output per response: Perceptron Mk1 up to 8,192, Gemini 3.1 Flash Lite up to 65,536, CoBuddy up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Perceptron Mk1 accepts text, images and video; Gemini 3.1 Flash Lite accepts text, images, PDFs, audio and video; CoBuddy accepts text. Gemini 3.1 Flash Lite handles the widest range of inputs.
Are any of these open source?
No. Perceptron Mk1, Gemini 3.1 Flash Lite and CoBuddy are proprietary and only available through APIs and apps.
Which is newer?
Perceptron Mk1 is the newest, released May 12, 2026. Gemini 3.1 Flash Lite came out May 7, 2026; CoBuddy came out May 6, 2026. Knowledge cutoff: Gemini 3.1 Flash Lite Jan 2025.
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.
