Laguna M.1 vs North Small Translate vs Qwen3.8 Max Preview
Laguna M.1 comes out ahead, 68 to 50 and 47 on our weighted score.
- Our pick
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
CohereNorth Small Translate
50/100- ECI—
- PriceFree / Free
- Context16K
Alibaba (Qwen)Qwen3.8 Max Preview
47/100- ECI—
- Price$2.00 / $6.00
- Context1M
Laguna M.1 is our pick
Laguna M.1 is the better all-round choice, scoring 68/100 against North Small Translate (50) and Qwen3.8 Max Preview (47). Qwen3.8 Max Preview wins 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 priceLaguna M.1 and North Small TranslateLaguna M.1 Free · North Small Translate Free · Qwen3.8 Max Preview $3.00 per 1M tokens (3:1 blend)
- Longest contextQwen3.8 Max PreviewQwen3.8 Max Preview 1,000,000 · Laguna M.1 262,144 · North Small Translate 16,000 tokens
- Widest inputsQwen3.8 Max PreviewLaguna M.1: Text · North Small Translate: Text · Qwen3.8 Max Preview: Text, Images, Video
- Self-hostingLaguna M.1 and North Small TranslatePublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Laguna M.1 | North Small Translate | Qwen3.8 Max Preview |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 27 |
| Inputs & features | 30% | 35 | 0 | 70 |
| Context window | 20% | 37 | 0 | 60 |
| Overall | 100% | 68/100 | 50/100 | 47/100 |
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 | Laguna M.1Poolside | North Small TranslateCohere | Qwen3.8 Max PreviewAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | Free (best) | $2.00 |
| Output | Free (best) | Free (best) | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | Free (best) | $3.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Poolside API | Official Cohere API | Median of 6 providers |
| Limits | |||
| Context window | 262,144 tokens | 16,000 tokens | 1,000,000 tokens (best) |
| Max output | 32,768 tokens | 16,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenCC-BY-NC-4.0 | Proprietary |
| API model ID | poolside/laguna-m.1 | north-small-translate-09-2026 | — |
| API providers | 2 | 1 | 6 (best) |
| Released | Apr 28, 2026 | Sep 9, 2026 | Jul 19, 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.
- Laguna M.1Free
- North Small TranslateFree
- Qwen3.8 Max Preview$32.00
Which should you choose?
Which is better: Laguna M.1, North Small Translate or Qwen3.8 Max Preview?
Laguna M.1 is the better all-round choice, scoring 68/100 against North Small Translate (50) and Qwen3.8 Max Preview (47). Qwen3.8 Max Preview wins 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, Laguna M.1, North Small Translate or Qwen3.8 Max Preview?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). North Small Translate costs Free input / Free output per million tokens (official Cohere API price); Qwen3.8 Max Preview costs $2.00 input / $6.00 output per million tokens (median across 6 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. Laguna M.1 has not been scored yet, North Small Translate has not been scored yet and Qwen3.8 Max Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna M.1, North Small Translate and Qwen3.8 Max Preview 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?
Qwen3.8 Max Preview has the largest context window at 1,000,000 tokens, against 262,144 for Laguna M.1 and 16,000 for North Small Translate. Maximum output per response: Laguna M.1 up to 32,768, North Small Translate up to 16,000, Qwen3.8 Max Preview up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Laguna M.1 accepts text; North Small Translate accepts text; Qwen3.8 Max Preview accepts text, images and video. Qwen3.8 Max Preview handles the widest range of inputs.
Are any of these open source?
Laguna M.1 and North Small Translate publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Qwen3.8 Max Preview is proprietary.
Which is newer?
North Small Translate is the newest, released Sep 9, 2026. Qwen3.8 Max Preview came out Jul 19, 2026; Laguna M.1 came out Apr 28, 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 Oct 4, 2026.
