Kimi K2.7 Code Highspeed vs Laguna M.1 vs North Mini Code
Too close to call on our weighted score (North Mini Code 71, Laguna M.1 68, Kimi K2.7 Code Highspeed 44). The right pick depends on what you value most.
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
CohereNorth Mini Code
71/100- ECI—
- PriceFree / Free
- Context256K
Too close to call
It is close. Our weighted score puts them within 3 points (North Mini Code 71/100, Laguna M.1 68/100, Kimi K2.7 Code Highspeed 44/100), so choose by what matters most for your work: Laguna M.1 on price. 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 priceLaguna M.1 and North Mini CodeLaguna M.1 Free · North Mini Code Free · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextKimi K2.7 Code Highspeed and Laguna M.1Kimi K2.7 Code Highspeed 262,144 · Laguna M.1 262,144 · North Mini Code 256,000 tokens
- Widest inputsKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed: Text, Images, Video · Laguna M.1: Text · North Mini Code: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Kimi K2.7 Code Highspeed | Laguna M.1 | North Mini Code |
|---|---|---|---|---|
| Price | 50% | 25 | 100 | 100 |
| Inputs & features | 30% | 80 | 35 | 45 |
| Context window | 20% | 37 | 37 | 36 |
| Overall | 100% | 44/100 | 68/100 | 71/100 |
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 | Kimi K2.7 Code HighspeedMoonshot AI | Laguna M.1Poolside | North Mini CodeCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.90 | Free (best) | Free (best) |
| Output | $8.00 | Free (best) | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.42 | Free (best) | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 11 providers | Official Poolside API | Official Cohere API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 256,000 tokens |
| Max output | 262,144 tokens (best) | 32,768 tokens | 64,000 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 | Yeshigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | poolside/laguna-m.1 | north-mini-code-1-0 |
| API providers | 11 (best) | 2 | 2 |
| Released | Jun 12, 2026 | Apr 28, 2026 | Jun 9, 2026 |
| Knowledge cutoff | Jan 2025 | — | Sep 23, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kimi K2.7 Code Highspeed$35.00
- Laguna M.1Free
- North Mini CodeFree
Which should you choose?
Which is better: Kimi K2.7 Code Highspeed, Laguna M.1 or North Mini Code?
It is close. Our weighted score puts them within 3 points (North Mini Code 71/100, Laguna M.1 68/100, Kimi K2.7 Code Highspeed 44/100), so choose by what matters most for your work: Laguna M.1 on price. 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, Kimi K2.7 Code Highspeed, Laguna M.1 or North Mini Code?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). North Mini Code costs Free input / Free output per million tokens (official Cohere API price); Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). Laguna M.1 is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Kimi K2.7 Code Highspeed has not been scored yet, Laguna M.1 has not been scored yet and North Mini Code has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2.7 Code Highspeed, Laguna M.1 and North Mini Code 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?
Kimi K2.7 Code Highspeed and Laguna M.1 have the largest context windows (262,144 and 262,144 tokens), against 256,000 for North Mini Code. Maximum output per response: Kimi K2.7 Code Highspeed up to 262,144, Laguna M.1 up to 32,768, North Mini Code up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K2.7 Code Highspeed accepts text, images and video; Laguna M.1 accepts text; North Mini Code accepts text. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. North Mini Code came out Jun 9, 2026; Laguna M.1 came out Apr 28, 2026. Knowledge cutoff: Kimi K2.7 Code Highspeed Jan 2025, North Mini Code Sep 23, 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 Oct 4, 2026.
