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 | 148 | 12.0 | LS |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
74.9%SR
Multi-IF
37.3%SR
General
MMLU
50.4%SR
Language
MMLU-Pro
30.7%SR
Reasoning
ChartQAMasry et al. (2022)
80.8%SR
CharXiv-D
60.0%SR
Vision
DocVQADocVQA (2020)
92.1%SR
OCRBench
79.2%SR
AI2D
77.5%SR
RefCOCO-avg
0.73 / 100SR
CountBench
0.72 / 100SR
MMBench-V1.1
68.7%SR
InfoVQA
65.2%SR
RealWorldQA
62.2%SR
Hallusion Bench
61.5%SR
BLINK
52.7%SR
MMStar
51.8%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 Text70
Spatial Reasoning70
Grounding70
Chat60
Instruction Following60
Multimodal60
Reasoning60
Structured Output60
General60
Vision60
3d50
Language40
Legal40
Math40
Finance40
Healthcare40
Communication40
Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
No provider data available