GPT-4.1 vs Ministral 3 3B 2512

Summary of our 12-test suite results (scores from our testing): GPT-4.1 wins 6 tests, Ministral 3 3B 2512 wins 0, and 6 tests tie. Wins for GPT-4.1 (scoreA vs scoreB):

• strategic analysis: GPT-4.1 5 vs Ministral 2. GPT-4.1 ranks "tied for 1st" on strategic analysis in our rankings (rank 1 of 54) — this matters for tasks requiring nuanced tradeoff reasoning with numbers (financial models, resource allocation).
• tool calling: GPT-4.1 5 vs 4. GPT-4.1 is tied for 1st on tool calling (rank 1 of 54); Ministral is rank 18 of 54. This means GPT-4.1 is more reliable at selecting functions, constructing arguments, and sequencing calls in our tests.
• long context: GPT-4.1 5 vs 4. GPT-4.1 is tied for 1st on long context (rank 1 of 55) and has a 1,047,576 token context window vs Ministral's 131,072 — a clear practical edge for multi-document retrieval and very long conversations.
• persona consistency: GPT-4.1 5 vs 4. GPT-4.1 is tied for 1st on persona consistency in our testing (rank 1 of 53), useful when maintaining strict character or role constraints.
• agentic planning: GPT-4.1 4 vs 3. GPT-4.1 ranks 16 of 54 on agentic planning versus Ministral 42 of 54; the gap matters for complex goal decomposition and recovery strategies.
• multilingual: GPT-4.1 5 vs 4. GPT-4.1 is tied for 1st on multilingual (rank 1 of 55); Ministral ranks 36 of 55. Expect higher non‑English parity from GPT-4.1 in our tests. Ties (scores identical): structured output 4/4, constrained rewriting 5/5, creative problem solving 3/3, faithfulness 5/5, classification 4/4, safety calibration 1/1. Notably, both models are equally strong on constrained rewriting and classification in our testing (Ministral tied for 1st on constrained rewriting and classification tied for 1st). External benchmarks (supplementary): GPT-4.1 scores 48.5% on SWE-bench Verified, 83% on MATH Level 5, and 38.3% on AIME 2025 — these external figures are from Epoch AI and provide task-specific context for coding and math performance. Ministral 3 3B 2512 has no external scores in the payload to report. Practical interpretation: GPT-4.1 is the superior option when you need top-tier tool integration, very long context handling, strategic numeric reasoning, and best-in-class multilingual and persona behavior. Ministral 3 3B 2512 matches or ties GPT-4.1 on several format- and faithfulness-related tasks while being orders of magnitude cheaper, so it is attractive for large-scale inference where those higher-order capabilities are not required.

Pricing in the payload is given per mTok. Treating 1M tokens = 1,000 mTok (per the pricing units in the payload):

• GPT-4.1: input $2/mTok, output $8/mTok. Per 1M tokens with a 50/50 input/output split: input 500 mTok = $1,000; output 500 mTok = $4,000; total = $5,000. At 10M tokens (50/50) = $50,000; at 100M tokens = $500,000.
• Ministral 3 3B 2512: input $0.1/mTok, output $0.1/mTok. Per 1M tokens (50/50): input $50 + output $50 = $100. At 10M = $1,000; at 100M = $10,000. Consequence: at mid-to-high volumes (10M+ tokens/month) the cost gap becomes decisive — GPT-4.1 costs roughly 50x more than Ministral 3 in a balanced token scenario, driven mainly by GPT-4.1's $8.0 output rate. Teams with tight budgets or very high throughput should prefer Ministral 3 3B 2512; teams that need the higher benchmarked capabilities and one‑million+ token context should budget for GPT-4.1's much higher fees.

Choose GPT-4.1 if you need:

• Best-in-suite tool calling and sequencing (GPT-4.1 scores 5/5 vs 4/5),
• One‑million+ token contexts and reliable retrieval across huge documents (GPT-4.1 1,047,576 vs 131,072 tokens),
• Strong strategic analysis and multilingual fidelity (GPT-4.1 5/5 on strategic analysis and multilingual).
  Choose Ministral 3 3B 2512 if you need:
• Extremely low inference cost (output $0.1/mTok vs GPT-4.1 $8.0/mTok) for high-volume apps,
• Solid constrained rewriting and classification at much lower price, or
• A compact model with vision support and good practical accuracy where the extra tool-planning and long-context advantages of GPT-4.1 are not required.