North Small Translate vs Laguna M.1 vs Nemotron VoiceChat
Too close to call on our weighted score (Laguna M.1 68, Nemotron VoiceChat 65, North Small Translate 50). The right pick depends on what you value most.
CohereNorth Small Translate
50/100- ECI—
- PriceFree / Free
- Context16K
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
NVIDIANemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
Too close to call
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, North Small Translate 50/100), so choose by what matters most for your work: North Small Translate on price and Laguna M.1 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 priceSame priceNorth Small Translate Free · Laguna M.1 Free · Nemotron VoiceChat Free per 1M tokens (3:1 blend)
- Longest contextLaguna M.1Laguna M.1 262,144 · Nemotron VoiceChat 128,000 · North Small Translate 16,000 tokens
- Widest inputsNemotron VoiceChatNorth Small Translate: Text · Laguna M.1: Text · Nemotron VoiceChat: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | North Small Translate | Laguna M.1 | Nemotron VoiceChat |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 0 | 35 | 35 |
| Context window | 20% | 0 | 37 | 24 |
| Overall | 100% | 50/100 | 68/100 | 65/100 |
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 | Laguna M.1Poolside | Nemotron VoiceChatNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free | Free | Free |
| Output | Free | Free | Free |
| Cached input | — | — | — |
| Blended (3:1) | Free | Free | Free |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official Poolside API | Official Nvidia API |
| Limits | |||
| Context window | 16,000 tokens | 262,144 tokens (best) | 128,000 tokens |
| Max output | 16,000 tokens | 32,768 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | Open | Open |
| API model ID | north-small-translate-09-2026 | poolside/laguna-m.1 | nvidia/nemotron-voicechat |
| API providers | 1 | 2 (best) | 1 |
| Released | Sep 9, 2026 | Apr 28, 2026 | Mar 16, 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.
- North Small TranslateFree
- Laguna M.1Free
- Nemotron VoiceChatFree
Which should you choose?
Which is better: North Small Translate, Laguna M.1 or Nemotron VoiceChat?
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, North Small Translate 50/100), so choose by what matters most for your work: North Small Translate on price and Laguna M.1 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, North Small Translate, Laguna M.1 or Nemotron VoiceChat?
North Small Translate, Laguna M.1 and Nemotron VoiceChat cost the same: Free input / Free output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. North Small Translate has not been scored yet, Laguna M.1 has not been scored yet and Nemotron VoiceChat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for North Small Translate, Laguna M.1 and Nemotron VoiceChat 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?
Laguna M.1 has the largest context window at 262,144 tokens, against 128,000 for Nemotron VoiceChat and 16,000 for North Small Translate. Maximum output per response: North Small Translate up to 16,000, Laguna M.1 up to 32,768, Nemotron VoiceChat up to 8,192 tokens.
Which can read images, PDFs, audio or video?
North Small Translate accepts text; Laguna M.1 accepts text; Nemotron VoiceChat accepts text and audio. Nemotron VoiceChat 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. Laguna M.1 came out Apr 28, 2026; Nemotron VoiceChat came out Mar 16, 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.
