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Ministral 3 8B Instruct 2512

Mistral AI · 2025-12-02 · 8.9B parameters

Ministral 3 8B Instruct 2512 is Mistral AI's December 2025 instruction-post-trained, non-reasoning checkpoint for edge and local deployment. The open-weight Apache-2.0 model combines an 8.4B-class dense language model with a frozen 410M-parameter vision encoder and a trained multimodal projector, accepts text and image input, produces text, and supports a 262,144-token context; this repository is the FP8 checkpoint, while Base and Reasoning are separate releases. Mistral's API serves it as ministral-8b-2512 (model card: https://docs.mistral.ai/models/model-cards/ministral-3-8b-25-12).

Benchmark scores

BenchmarkScore
AA-Briefcase Elo99.2
AA-Briefcase v1.1 Elo77.9
AA-LCR24.0
AA-LCR v1.125.7
AA-Omniscience Index-69.0
AIME 2025 (Artificial Analysis avg@10)31.7
Artificial Analysis Agentic Index1.2
Artificial Analysis Coding Index9.7
Artificial Analysis Intelligence Index9.0
Artificial Analysis Intelligence Index v4.35.5
Artificial Analysis Intelligence Index v4.3.25.5
Artificial Analysis Omniscience Accuracy13.0
Artificial Analysis Omniscience Hallucination Rate94.2
Artificial Analysis Openness Index38.9
Artificial Analysis Progress Index v1167
AutomationBench-AA 1.0.60.5
BuseyBench SVG1.4
Capability123.7
CritPt (avg@5)0.0
Design Arena Overall Code Categories1051
DTBench49.1
FormationEval86.9
GDP.pdf (Artificial Analysis, All-pass)0.8
GDP.pdf (Artificial Analysis, Mean Criteria)34.6
GDPval-AA v2405
GDPval-AA v2 (normalized)0.0
GDPval-AA v2.1221
Global MMLU Lite66.3
GPQA Diamond (Artificial Analysis avg@5)47.1
Humanity's Last Exam (Text-Only)4.3
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