R1 vs Ministral 3 3B 2512

Head-to-head across our 12-test suite (scores are from our testing):

• R1 wins (higher score): strategic_analysis 5 vs 2 (R1 tied for 1st among 54 models on strategic analysis), creative_problem_solving 5 vs 3 (R1 tied for 1st), persona_consistency 5 vs 4 (R1 tied for 1st of 53), agentic_planning 4 vs 3 (R1 rank 16/54), multilingual 5 vs 4 (R1 tied for 1st of 55). These wins indicate R1 is stronger at nuanced tradeoff reasoning, generating non-obvious feasible ideas, maintaining character, planning/decomposition, and non-English quality.
• Ministral 3 3B 2512 wins: constrained_rewriting 5 vs 4 (Ministral tied for 1st of 53 — better at tight compression/character limits), classification 4 vs 2 (Ministral tied for 1st of 53; R1 ranks 51/53). These wins show Ministral excels when format-constrained or routing/labeling accuracy matters.
• Ties: structured_output 4/4, tool_calling 4/4 (both rank 18/54), faithfulness 5/5 (both tied for 1st of 55), long_context 4/4, safety_calibration 1/1. Ties mean similar behavior on JSON/schema adherence, function selection accuracy, sticking to source material, retrieval at 30K+ tokens, and safety refusal patterns in our tests.
• External math benchmarks (not our internal 1–5 scores): R1 scores 93.1% on MATH Level 5 and 53.3% on AIME 2025 (Epoch AI), showing strong performance on competition-level math tasks; Ministral 3 3B 2512 has no external math scores in the payload. Practical interpretation: pick R1 for complex reasoning, planning, and math-heavy tasks; pick Ministral 3 3B 2512 for constrained output, classification/routing, multimodal (text+image->text) needs, or when cost is a primary constraint.

R1 charges $0.70 per input mK and $2.50 per output mK; Ministral 3 3B 2512 charges $0.10 per mK for both input and output. Assuming tokens billed combined and a 50/50 split of input/output tokens, monthly costs are: for 1M total tokens R1 ≈ $1,600 ($350 input + $1,250 output) vs Ministral ≈ $100 ($50 + $50); for 10M tokens R1 ≈ $16,000 vs Ministral ≈ $1,000; for 100M tokens R1 ≈ $160,000 vs Ministral ≈ $10,000. The payload’s priceRatio is 25, driven by R1’s $2.50/mK output vs $0.10/mK for Ministral. Teams with high throughput, consumer-facing apps, or heavy-generation costs should care about the gap; prototypes, low-volume products, or multimodal pipelines will save materially with Ministral 3 3B 2512.

Choose R1 if you need top-tier strategic analysis, creative problem solving, multilingual parity, persona consistency, or strong MATH Level 5 performance and you can absorb much higher inference costs. Choose Ministral 3 3B 2512 if you need budget efficiency (≈1/16th the cost at 1M tokens under a 50/50 I/O assumption), strong constrained rewriting and classification, or multimodal (vision) support — it’s the practical choice for high-throughput or cost-sensitive deployments.