Codestral 2508 vs Ministral 3 14B 2512

All benchmark claims below are from our testing across the 12-test suite. Wins and ranks: Codestral 2508 wins 5 tests — structured_output 5 vs 4 (tied for 1st of 54 with 24 others), tool_calling 5 vs 4 (tied for 1st of 54 with 16 others), faithfulness 5 vs 4 (tied for 1st of 55 with 32 others), long_context 5 vs 4 (tied for 1st of 55 with 36 others), and agentic_planning 4 vs 3 (rank 16 of 54). Practical meaning: higher structured_output and tool_calling scores mean Codestral is better at strict JSON/schema compliance and selecting/calling functions with accurate arguments — important for code generation, API wrappers, and automation. Strong faithfulness and long_context scores indicate safer retrieval from very long documents and fewer hallucinations in our tests. Ministral 3 14B 2512 wins 5 tests — strategic_analysis 4 vs 2 (rank 27 of 54), constrained_rewriting 4 vs 3 (rank 6 of 53), creative_problem_solving 4 vs 2 (rank 9 of 54), classification 4 vs 3 (tied for 1st of 53 with 29 others), and persona_consistency 5 vs 3 (tied for 1st of 53 with 36 others). Practical meaning: Ministral 3 is stronger at nuanced tradeoff reasoning, tight-character compression, brainstorming non-obvious ideas, accurate categorization/routing, and maintaining persona or resisting prompt injection. Two tests tie: safety_calibration (both 1) and multilingual (both 4). In short: Codestral leads where deterministic, schema- or function-driven accuracy and very long-context retrieval matter; Ministral 3 leads on creative, strategic, and classification-heavy workflows.

Payload prices: Codestral 2508 — $0.30 input / $0.90 output per mTok; Ministral 3 14B 2512 — $0.20 input / $0.20 output per mTok. If you split tokens 50/50 (input/output), per 1M tokens Codestral costs $600 vs Ministral $200 (3×). At 10M tokens/month that's $6,000 vs $2,000; at 100M it's $60,000 vs $20,000. The payload also reports a priceRatio of 4.5, indicating Codestral can be up to ~4.5× pricier depending on token mix (output-heavy workloads emphasize Codestral's $0.90 output rate). Who should care: startups and high-volume API users (10M+ tokens/month) will feel the difference; choose Codestral only if its wins (tool calling, structured output, long context, faithfulness) justify $thousands in monthly spend.

Choose Codestral 2508 if: you need best-in-test tool-calling, strict structured-output/JSON compliance, top faithfulness on source material, or maximal long-context handling (e.g., automated code repair, function orchestration, document Q&A across 30K+ tokens). Expect to pay substantially more. Choose Ministral 3 14B 2512 if: you want a cost-efficient, general-purpose model that scores higher on strategic reasoning, constrained rewriting, creative problem solving, classification, and persona consistency (e.g., chatbots, summarization, routing/classification pipelines, idea generation) while keeping price low.