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North Micro Vision Instruct

CohereOpen WeightApache 2.0 · Commercial OK

Description

Compact open-weight vision-language model (2.4B) with native-resolution image support for VQA, captioning, grounding, OCR, charts, and documents. Custom 400M SigLIP 2-based vision encoder + 2B North Micro LLM backbone (Command A+ style). Multilingual and multi-image. LM context 128K; multimodal training validated to 8K. Not a reasoning/tool-calling model. Intended for prototyping and fine-tuning.

Release Date
2026-08-12
Parameters
2.4B
Context Length
Modalities

Capability Radar

60
general
0
coding
40
reasoning
34
scienceest.
28
agents
70
multimodal

Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.

Rankings

Domain#RankScoreSource
Multimodal Ranking86
18.0
LS

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

3d

BLINK52.7%SR

Communication

Multi-IF37.3%SR

Finance

MMLU50.4%SR
MMLU-Pro30.7%SR

General

IFEvalGoogle Research (2023)74.9%SR
MMStar51.8%SR
MMMU (val)32.9%SR

Grounding

RefCOCO-avg0.73 / 100SR

Image To Text

DocVQADocVQA (2020)92.1%SR
OCRBench79.2%SR
OCRBench-V2 (en)36.7%SR

Multimodal

ChartQAMasry et al. (2022)80.8%SR
AI2D77.5%SR
MMBench-V1.168.7%SR
InfoVQA65.2%SR
CharXiv-D60.0%SR

Reasoning

CountBench0.72 / 100SR
Hallusion Bench61.5%SR

Spatial Reasoning

RealWorldQA62.2%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Spatial Reasoning
70
Image To Text
70
Grounding
70
Multimodal
60
Reasoning
60
Structured Output
60
Instruction Following
60
General
60
Vision
60
3d
50
Legal
40
Math
40
Language
40
Finance
40
Healthcare
40
Communication
40

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

No provider data available

External Sources