R1 vs Ministral 3 8B 2512

Across our 12-test suite (scores 1–5), R1 wins five tasks: strategic_analysis (R1=5 vs M3=3), creative_problem_solving (5 vs 3), faithfulness (5 vs 4), agentic_planning (4 vs 3), and multilingual (5 vs 4). R1 ranks tied for 1st on strategic_analysis, creative_problem_solving and faithfulness in our rankings (e.g., strategic_analysis: “tied for 1st with 25 other models”). Ministral 3 8B 2512 wins two tasks: constrained_rewriting (M3=5 vs R1=4) — where it is tied for 1st — and classification (M3=4 vs R1=2), where R1 ranks near the bottom for classification (rank 51 of 53) while Ministral 3 is tied for 1st (tied with 29 others). Five tests are ties: structured_output (4/4), tool_calling (4/4), long_context (4/4), safety_calibration (1/1), and persona_consistency (5/5). Practical interpretation: R1 is the stronger choice when you need nuanced tradeoff reasoning, multi‑language parity, and higher faithfulness (fewer hallucinations), and it also posts strong external math numbers — R1 scores 93.1% on MATH Level 5 and 53.3% on AIME 2025 (Epoch AI) which supports its strength on hard reasoning tasks. Ministral 3 8B 2512 is better for tight-format rewriting and classification/routing at lower cost, and it adds vision capability (modality: text+image->text) that R1 does not support (modality: text->text). For tool workflows both models score 4/5 and rank similarly (tool_calling display: rank 18 of 54 for both), so neither has a clear advantage for function selection in our tests.

Pricing per 1,000 tokens: R1 charges $0.70 input / $2.50 output; Ministral 3 8B 2512 charges $0.15 input / $0.15 output. Assuming a 50/50 split of input/output tokens, 1M tokens/month (500k input + 500k output) costs: R1 ≈ $1,600; Ministral 3 ≈ $150. Scale that to 10M tokens: R1 ≈ $16,000 vs Ministral 3 ≈ $1,500. At 100M tokens: R1 ≈ $160,000 vs Ministral 3 ≈ $15,000. R1 is ~16.7× more expensive per token (priceRatio 16.6667). Teams with high-volume production workloads, tight margins, or many short requests should care about this gap; labs or products that prioritize higher strategic reasoning and faithfulness may accept R1’s premium for quality gains.

Choose R1 if you need high-quality strategic reasoning, multilingual parity, strong faithfulness, creative problem solving, or better math reasoning (MATH Level 5 93.1% Epoch AI) and can accept ~16.7× higher per-token cost. Choose Ministral 3 8B 2512 if you need a low-cost, efficient model for classification, constrained rewriting, or image-to-text tasks (it supports text+image->text), or if you must optimize every dollar at scale.