Data as of November 13, 2026 · How the score is built
North Small Translate
Decision readingNorth Small Translate is tracked, but not publicly ranked yet. The profile exposes 2 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Email me when its price, rank or availability changes.
Capability
Unranked
field median 49.4Not eligible for a public rank
Price
API rate not published
input median $0.60No comparable first-party hosted token rate
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
16Ktokens
field median 256,000Maximum output length is tracked separately
Decision snapshot
How much published evidence this model has, where that evidence is strongest, and what to validate before choosing it. It has no public rank, so no field position is shown.
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
2 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 2 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| CodingWeight 20%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
2 of 919 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- CodingNot measured
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- Multilingual2/2 verified
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Every result says who ran the test. For this model, Cohere ran all 6. Multilingual opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Multilingual2 rows
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| WMT26WMT26 General Machine Translation (all languages) | 83.6% | Best verified: North Small Translate · 83.6% | GapHighest listed | Reported by Cohere | Shown only |
| Long-context translationLong-context translation evaluation (Cohere) | 48.9% | Best verified: North Small Translate · 48.9% | GapHighest listed | Reported by Cohere | Shown only |
Other lab-reported results4 rowsAnother metric, split or setting, or a test without a page
| Benchmark | Score | On a 0–100 scale | Who ran it | Use in ranking |
|---|---|---|---|---|
| WMT26, South AsiaJudged translation quality, 0–100 · South Asian languages only | 86.16 | Reported by Cohere | Shown only | |
| WMT26, Agentic modeJudged translation quality, 0–100 · Agentic mode, which finds and fixes its own translation errors | 84.36 | Reported by Cohere | Shown only | |
| WMT26, EU languagesJudged translation quality, 0–100 · EU languages only | 82.17 | Reported by Cohere | Shown only | |
| WMT26, non-EU European languagesJudged translation quality, 0–100 · Non-EU European languages only | 81.24 | Reported by Cohere | Shown only |
Outlined bars are lab-reported. Filled bars are benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- north-small-translate-1-0Cohere model documentation
- Context window
- 16KCohere model documentation
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Released September 10, 2026 as Cohere's first North-family translation model: a 218B-total / 25B-active mixture-of-experts model with a 16K input and 16K output context, text in and text out, and 50+ supported languages and locale variants. NVFP4 W4A16 weights are on Hugging Face under CC BY-NC 4.0 for research and non-commercial use; the Cohere API serves it as north-small-translate-1-0 (free until rate limits), and commercial licenses run through Cohere's Model Vault and RWS Language Weaver.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordCohere model documentation
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track North Small Translate, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
North Small Translate is a open weight model with a 16K context window. No explicit reasoning mode is documented in this profile.
Released September 10, 2026 as Cohere's first North-family translation model: a 218B-total / 25B-active mixture-of-experts model with a 16K input and 16K output context, text in and text out, and 50+ supported languages and locale variants. NVFP4 W4A16 weights are on Hugging Face under CC BY-NC 4.0 for research and non-commercial use; the Cohere API serves it as north-small-translate-1-0 (free until rate limits), and commercial licenses run through Cohere's Model Vault and RWS Language Weaver.
Official exact-value snapshot from Cohere's September 10, 2026 North Small Translate launch post and the Cohere model documentation. BenchLM maps the two scored evaluations Cohere publishes: the WMT26 All Languages score (83.6, judged by GPT-5.6 Sol across 50+ languages) and Cohere's long-context translation evaluation (48.9, xCOMET-XL per paragraph over two book chapters translated in one call). Both are Cohere-run evaluations, so the rows are display-only and the model stays out of weighted ranking. Cohere also reports an Agentic mode on WMT26 and regional averages (EU languages, non-EU Europe, South Asia), listed in the benchmark ledger, a commercial-configuration point of 80.1 at $0.000676 per task, and up to 1.4x higher output throughput than Gemma 4 31B on identical hardware; those claims stay descriptive.
2 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersQuestions
How does North Small Translate perform overall in AI benchmarks?
North Small Translate has 2 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is North Small Translate good for multilingual tasks?
North Small Translate has source-displayable benchmark coverage for multilingual tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is North Small Translate open source?
North Small Translate is an open-weight model from Cohere. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Does North Small Translate have full benchmark coverage on BenchLM?
No. North Small Translate currently has 2 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of North Small Translate?
North Small Translate has a documented context window of 16K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.