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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 Ranking148
12.0
LS

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)74.9%SR
Multi-IF37.3%SR

General

MMLU50.4%SR

Language

MMLU-Pro30.7%SR

Reasoning

ChartQAMasry et al. (2022)80.8%SR
CharXiv-D60.0%SR

Vision

DocVQADocVQA (2020)92.1%SR
OCRBench79.2%SR
AI2D77.5%SR
RefCOCO-avg0.73 / 100SR
CountBench0.72 / 100SR
MMBench-V1.168.7%SR
InfoVQA65.2%SR
RealWorldQA62.2%SR
Hallusion Bench61.5%SR
BLINK52.7%SR
MMStar51.8%SR
OCRBench-V2 (en)36.7%SR
MMMU (val)32.9%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

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