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 | #Rank | Score | Source |
|---|---|---|---|
| Multimodal Ranking | 86 | 18.0 | LS |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))3d
BLINK
52.7%SR
Communication
Multi-IF
37.3%SR
Finance
MMLU
50.4%SR
MMLU-Pro
30.7%SR
General
IFEvalGoogle Research (2023)
74.9%SR
MMStar
51.8%SR
MMMU (val)
32.9%SR
Grounding
RefCOCO-avg
0.73 / 100SR
Image To Text
DocVQADocVQA (2020)
92.1%SR
OCRBench
79.2%SR
OCRBench-V2 (en)
36.7%SR
Multimodal
ChartQAMasry et al. (2022)
80.8%SR
AI2D
77.5%SR
MMBench-V1.1
68.7%SR
InfoVQA
65.2%SR
CharXiv-D
60.0%SR
Reasoning
CountBench
0.72 / 100SR
Hallusion Bench
61.5%SR
Spatial Reasoning
RealWorldQA
62.2%SR
AA Evaluation Indices
(Artificial Analysis)No AA evaluation data available
LLM Stats Category Scores
(LLM Stats (zeroeval))Spatial Reasoning70
Image To Text70
Grounding70
Multimodal60
Reasoning60
Structured Output60
Instruction Following60
General60
Vision60
3d50
Legal40
Math40
Language40
Finance40
Healthcare40
Communication40
Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
No provider data available