Ministral 3 3B 2512 vs o4 Mini

Overview: In our 12-test head-to-head, o4 Mini wins 8 categories, Ministral 3 3B 2512 wins 1, and 3 are ties. Detailed walk-through: - Structured output: o4 Mini 5 vs Ministral 4 — o4 Mini ranks tied for 1st on structured output (tied with 24 others out of 54). This matters for JSON/schema compliance and strict format adherence in production integrations. - Strategic analysis: o4 Mini 5 vs Ministral 2 — o4 Mini is tied for 1st on strategic analysis (tied with 25 others of 54), so it handles nuanced tradeoffs and numeric reasoning far better. - Creative problem solving: o4 Mini 4 vs Ministral 3 — o4 Mini ranks 9th of 54, useful when you need non-obvious, feasible ideas. - Tool calling: o4 Mini 5 vs Ministral 4 — o4 Mini is tied for 1st (tied with 16 others of 54), so it selects functions and arguments more accurately. - Long context: o4 Mini 5 vs Ministral 4 — o4 Mini is tied for 1st on long-context (tied with 36 others of 55), which aligns with its larger context window (200,000 vs 131,072). This improves retrieval over 30K+ tokens. - Persona consistency, agentic planning, multilingual: o4 Mini scores 5 vs Ministral 4 in each — o4 Mini ranks tied for 1st on persona consistency and multilingual and ranks higher on agentic planning (rank 16 vs Ministral rank 42). That implies more stable character behavior, stronger non-English output, and better goal decomposition. - Constrained rewriting: Ministral 5 vs o4 Mini 3 — Ministral is tied for 1st on constrained rewriting (tied with 4 others), so it compresses text within hard limits more reliably. - Faithfulness and classification: ties (faithfulness 5/5; classification 4/4). Both models are strong at sticking to source material and routing/categorization. - Safety calibration: tie at 1/5 for both in our testing. External benchmarks: o4 Mini posts 97.8% on MATH Level 5 and 81.7% on AIME 2025 (Epoch AI) per the payload, which supports its high strategic and mathematical reasoning scores; Ministral has no external math scores in the payload. Practical meaning: pick o4 Mini when you need robust structured outputs, tool integrations, extensive context, and strong multilingual and reasoning performance. Pick Ministral for expensive output-constrained tasks where constrained rewriting and low cost are critical.

Prices in the payload: Ministral 3 3B 2512 charges $0.10/mTok input and $0.10/mTok output; o4 Mini charges $1.10/mTok input and $4.40/mTok output. For a simple example assume a 50/50 input/output token split (state this assumption before changing). Under that assumption: for 1M total tokens (1,000 mTok) Ministral ≈ $100 (500 mTok input × $0.1 = $50; 500 mTok output × $0.1 = $50). o4 Mini ≈ $2,750 (500 mTok × $1.10 = $550; 500 mTok × $4.40 = $2,200). At 10M tokens: Ministral ≈ $1,000 vs o4 Mini ≈ $27,500. At 100M tokens: Ministral ≈ $10,000 vs o4 Mini ≈ $275,000. The payload’s output price ratio (Ministral $0.10 vs o4 $4.40) is 0.0227, meaning Ministral output tokens cost ~2.27% of o4 Mini output tokens. Who should care: high-volume deployments, startups, or cost-sensitive applications should favor Ministral; teams that need the stronger capabilities shown in multiple benchmarks should budget for o4 Mini despite the much higher per-token cost.

Choose Ministral 3 3B 2512 if: you have strict cost limits or very high token volumes and need compact multimodal inference or superior constrained rewriting (Ministral scores 5 vs o4's 3). Choose o4 Mini if: you prioritize structured output, tool calling, long-context retrieval, strategic analysis, multilingual reliability, or higher-level problem solving — o4 Mini wins 8 of 12 tests and posts strong external math scores (MATH Level 5 97.8%, AIME 2025 81.7% per Epoch AI). If budget is tight, use Ministral; if correctness, tool use, and long-context reasoning matter, pay for o4 Mini.