DeepSeek V3.1 Terminus vs Ministral 3 3B 2512

Our 12-test comparison (scores 1–5) shows DeepSeek wins 6 tests, Ministral wins 4, and 2 tie. Detailed walkthrough: - Structured output: DeepSeek 5 vs Ministral 4. DeepSeek is tied for 1st (tied with 24 others out of 54), so it’s a safer choice when strict JSON/schema compliance matters. - Strategic analysis: DeepSeek 5 vs Ministral 2. DeepSeek ties for 1st (tied with 25 of 54), making it clearly stronger for nuanced tradeoff reasoning and numeric justification. - Long context: DeepSeek 5 vs Ministral 4. DeepSeek is tied for 1st (tied with 36 others out of 55), which maps to better retrieval and coherence across 30K+ token contexts. - Creative problem solving: DeepSeek 4 vs Ministral 3. DeepSeek ranks 9 of 54 (shared), so it generates more feasible, non-obvious ideas in our tests. - Agentic planning: DeepSeek 4 vs Ministral 3. DeepSeek ranks 16 of 54, giving it an edge for goal decomposition and failure-recovery planning. - Multilingual: DeepSeek 5 vs Ministral 4. DeepSeek ties for 1st with many models (34 others), indicating stronger non-English parity in our suite. Wins for Ministral: - Constrained rewriting: Ministral 5 vs DeepSeek 3. Ministral ties for 1st (with 4 others out of 53), so it better compresses or enforces hard character limits. - Tool calling: Ministral 4 vs DeepSeek 3. Ministral ranks 18 of 54 (shared), so it selects functions and arguments more accurately in our tests. - Faithfulness: Ministral 5 vs DeepSeek 3. Ministral ties for 1st (with 32 others), indicating it sticks to source material with fewer hallucinations. - Classification: Ministral 4 vs DeepSeek 3. Ministral is tied for 1st (with 29 others), which translates into better routing and categorization in production classifiers. Ties: Safety calibration (both 1) — both models score poorly on refusing harmful requests in our suite; Persona consistency (both 4) — equal performance in maintaining character and resisting injection. Practical meaning: pick DeepSeek where long-context, structured outputs, and strategic reasoning drive correctness; pick Ministral where cost, faithfulness, classification, and tool integration are the priority.

Per the payload, DeepSeek V3.1 Terminus charges $0.21 per mTok input and $0.79 per mTok output; Ministral 3 3B 2512 charges $0.10 per mTok for both input and output. Using a simple 50/50 input/output split: - 1M tokens (500 mTok in + 500 mTok out): DeepSeek = 500*(0.21+0.79) = $500; Ministral = 500*(0.10+0.10) = $100. - 10M tokens: DeepSeek = $5,000; Ministral = $1,000. - 100M tokens: DeepSeek = $50,000; Ministral = $10,000. DeepSeek is ~5x more expensive under a 50/50 split; the payload priceRatio is 7.9 reflecting the asymmetric input/output costs. Who should care: teams running millions of tokens/month (analytics pipelines, high-volume chat) will see five-figure monthly differences; cost-sensitive production apps should prefer Ministral for throughput and predictable unit pricing, while teams who need long-context, strict structured outputs, or heavy strategic reasoning may accept DeepSeek’s higher cost for the quality gains documented in our benchmarks.

Choose DeepSeek V3.1 Terminus if you need: - Long-document workflows (long_context 5; tied for 1st). - Reliable schema/JSON outputs (structured_output 5; tied for 1st). - Strategic analysis and agentic planning (strategic_analysis 5, agentic_planning 4). Ideal for research, long-context assistants, and multi-step planning where accuracy on complex reasoning matters and higher per-token cost is acceptable. Choose Ministral 3 3B 2512 if you need: - Lowest per-token cost ($0.10/mtok in & out) for high-volume production. - Better faithfulness (5), classification (4), tool calling (4), and constrained rewriting (5). Ideal for production classifiers, tool-driven agents, and cost-sensitive pipelines that prioritize correctness against source text and efficient function selection.