North Small Translate vs Kimi K2.7 Code Highspeed vs Laguna M.1
Laguna M.1 comes out ahead, 68 to 50 and 44 on our weighted score.
CohereNorth Small Translate
50/100- ECI—
- PriceFree / Free
- Context16K
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
- Our pick
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
Laguna M.1 is our pick
Laguna M.1 is the better all-round choice, scoring 68/100 against North Small Translate (50) and Kimi K2.7 Code Highspeed (44). Kimi K2.7 Code Highspeed 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 priceNorth Small Translate and Laguna M.1North Small Translate Free · Laguna M.1 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 Small Translate 16,000 tokens
- Widest inputsKimi K2.7 Code HighspeedNorth Small Translate: Text · Kimi K2.7 Code Highspeed: Text, Images, Video · Laguna M.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | North Small Translate | Kimi K2.7 Code Highspeed | Laguna M.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 25 | 100 |
| Inputs & features | 30% | 0 | 80 | 35 |
| Context window | 20% | 0 | 37 | 37 |
| Overall | 100% | 50/100 | 44/100 | 68/100 |
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 | North Small TranslateCohere | Kimi K2.7 Code HighspeedMoonshot AI | Laguna M.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | $1.90 | Free (best) |
| Output | Free (best) | $8.00 | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | $3.42 | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 11 providers | Official Poolside API |
| Limits | |||
| Context window | 16,000 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 16,000 tokens | 262,144 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | Open | Open |
| API model ID | north-small-translate-09-2026 | — | poolside/laguna-m.1 |
| API providers | 1 | 11 (best) | 2 |
| Released | Sep 9, 2026 | Jun 12, 2026 | Apr 28, 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.
- North Small TranslateFree
- Kimi K2.7 Code Highspeed$35.00
- Laguna M.1Free
Which should you choose?
Which is better: North Small Translate, Kimi K2.7 Code Highspeed or Laguna M.1?
Laguna M.1 is the better all-round choice, scoring 68/100 against North Small Translate (50) and Kimi K2.7 Code Highspeed (44). Kimi K2.7 Code Highspeed 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, North Small Translate, Kimi K2.7 Code Highspeed or Laguna M.1?
North Small Translate is cheaper at Free input / Free output per million tokens (official Cohere API price). Laguna M.1 costs Free input / Free output per million tokens (official Poolside API price); Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). North Small Translate is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. North Small Translate has not been scored yet, Kimi K2.7 Code Highspeed has not been scored yet and Laguna M.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for North Small Translate, Kimi K2.7 Code Highspeed and Laguna M.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that North Small Translate does not support tool calling, which most coding agents need.
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 16,000 for North Small Translate. Maximum output per response: North Small Translate up to 16,000, Kimi K2.7 Code Highspeed up to 262,144, Laguna M.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
North Small Translate accepts text; Kimi K2.7 Code Highspeed accepts text, images and video; Laguna M.1 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 (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
North Small Translate is the newest, released Sep 9, 2026. Kimi K2.7 Code Highspeed came out Jun 12, 2026; Laguna M.1 came out Apr 28, 2026. Knowledge cutoff: Kimi K2.7 Code Highspeed 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 Oct 4, 2026.
