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Ministral 3 14B Instruct 2512

Mistral AI · 2025-12-02 · 13.9B parameters

Ministral 3 14B Instruct 2512 is Mistral AI's FP8 instruction-post-trained dense multimodal checkpoint, released in December 2025 with a 13.5B language model and a 410M-parameter vision encoder. It accepts text and image input, supports a 262,144-token context via YaRN extension from 16,384 positions, and provides multilingual chat, native function calling, and JSON output; it is distinct from the separately released Base and Reasoning variants. Mistral's API serves it as ministral-14b-2512 (model card: https://docs.mistral.ai/models/model-cards/ministral-3-14b-25-12).

Benchmark scores

BenchmarkScore
AA-Briefcase Elo150
AA-Briefcase v1.1 Elo132
AA-LCR22.0
AA-LCR v1.126.3
AA-Omniscience Index-66.4
AIME 2025 (Artificial Analysis avg@10)30.0
Artificial Analysis Agentic Index2.2
Artificial Analysis Coding Index14.4
Artificial Analysis Intelligence Index11.1
Artificial Analysis Intelligence Index v4.36.0
Artificial Analysis Intelligence Index v4.3.26.0
Artificial Analysis Omniscience Accuracy13.6
Artificial Analysis Omniscience Hallucination Rate92.5
Artificial Analysis Openness Index38.9
Artificial Analysis Progress Index v1176
AutomationBench-AA 1.0.60.6
BuseyBench SVG2.4
Capability126.5
CritPt (avg@5)0.0
Design Arena Overall Code Categories1063
DTBench56.0
FormationEval87.7
GDP.pdf (Artificial Analysis, All-pass)1.2
GDP.pdf (Artificial Analysis, Mean Criteria)36.5
GDPval-AA v2432
GDPval-AA v2 (normalized)0.0
GDPval-AA v2.1255
Global MMLU Lite68.3
GPQA Diamond (Artificial Analysis avg@5)57.2
Humanity's Last Exam (Text-Only)4.6
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