Data as of October 25, 2026 · How the score is built
Released Aug 10, 2026128K contextCohere North Micro Vision Instruct model card
North Micro Vision Instruct
Decision readingNorth Micro Vision Instruct is tracked, but not publicly ranked yet. The profile exposes 1 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Aug 10, 2026 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
Unranked
field median 50Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.75No comparable first-party hosted token rate
Speed
Not measured
field median 96 tok/sTime to first token not measured
Context
128Ktokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
1 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 1 displayable benchmark row
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%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
1 of 766 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
- Multimodal1/1 verified
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Multimodal opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Multimodal1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| RealWorldQA | Score62.2% | Versus best verified row Best verified: Qwen3.8-Flash-Next · 88.5% | Gap26.3 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 1 rowsLineage
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.
Instruct
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
- CohereLabs/North-Micro-Vision-InstructCohere North Micro Vision Instruct model card
- Context window
- 128KCohere North Micro Vision Instruct model card
- 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
- Cohere Labs publishes the 2.4B-parameter vision-language model (2B language backbone plus a 400M SigLIP 2-derived encoder) under Apache 2.0 on Hugging Face. The backbone supports a 128K context, but the validated multimodal operating range is 8K tokens.
- 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 North Micro Vision Instruct model card
- Self-host
- North Micro Vision Instruct needs ~24GB VRAM (1× NVIDIA RTX 4090 (24GB)).
- 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 Micro Vision Instruct, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
North Micro Vision Instruct is a open weight model with a 128K context window. No explicit reasoning mode is documented in this profile.
Cohere Labs publishes the 2.4B-parameter vision-language model (2B language backbone plus a 400M SigLIP 2-derived encoder) under Apache 2.0 on Hugging Face. The backbone supports a 128K context, but the validated multimodal operating range is 8K tokens.
Official exact-value snapshot from the North Micro Vision Instruct Hugging Face model card (August 10, 2026). BenchLM maps RealWorldQA (0.622, stored as 62.2) onto its existing lane; MMBench, MMStar, GQA, and the multilingual MMBench rows have no exact compatible lane. The row stays unranked.
1 of 766 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 25, 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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Questions
How does North Micro Vision Instruct perform overall in AI benchmarks?
North Micro Vision Instruct has 1 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 Micro Vision Instruct good for multimodal and grounded tasks?
North Micro Vision Instruct has source-displayable benchmark coverage for multimodal and grounded 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 Micro Vision Instruct open source?
North Micro Vision Instruct 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 Micro Vision Instruct have full benchmark coverage on BenchLM?
No. North Micro Vision Instruct currently has 1 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 Micro Vision Instruct?
North Micro Vision Instruct has a documented context window of 128K. 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.