Gemma 4 31B vs Ministral 3 3B 2512

Summary of our 12-test suite results (scores shown are from our testing): Gemma 4 31B wins 8 tests, Ministral 3 3B 2512 wins 1, and 3 tests tie. Detailed walk-through: - Structured output (JSON schema compliance): Gemma 5 vs Ministral 4 — Gemma wins and is tied for 1st (tied with 24 others) in our rankings, so it’s stronger when exact format adherence and schema output matter. - Strategic analysis (nuanced tradeoff reasoning): Gemma 5 vs Ministral 2 — Gemma wins decisively and is tied for 1st; Ministral ranks 44 of 54, so Gemma is far better for numeric tradeoffs and multi-step reasoning. - Tool calling (function selection/argument accuracy): Gemma 5 vs Ministral 4 — Gemma tied for 1st; Ministral ranks 18 of 54. Expect Gemma to select and sequence tools more reliably in agentic workflows. - Agentic planning (goal decomposition/failure recovery): Gemma 5 vs Ministral 3 — Gemma tied for 1st; Ministral ranked 42, so Gemma better supports planning-heavy agents. - Creative problem solving: Gemma 4 vs Ministral 3 — Gemma wins (rank 9 vs 30), delivering more specific, feasible ideas. - Constrained rewriting (compression inside hard limits): Gemma 4 vs Ministral 5 — Ministral wins and is tied for 1st with 4 others; choose Ministral when strict brevity/compression under tight character limits is critical. - Faithfulness: tie 5 vs 5 — both models scored 5 and each ranks tied for 1st in faithfulness, so neither shows a clear hallucination advantage in our tests. - Classification: tie 4 vs 4 — both tied for 1st with many models, so routing/categorization tasks are comparable. - Long context (30K+ retrieval): tie 4 vs 4 — both scored 4; Gemma’s context_window is 262,144 vs Ministral’s 131,072, so Gemma gives more headroom for huge contexts even though scores tied. - Persona consistency: Gemma 5 vs Ministral 4 — Gemma tied for 1st, stronger at maintaining character and resisting injection. - Multilingual: Gemma 5 vs Ministral 4 — Gemma tied for 1st; better for non-English parity in our tests. - Safety calibration: Gemma 2 vs Ministral 1 — Gemma marginally better at refusing harmful requests while permitting legitimate ones (Gemma rank 12 vs Ministral rank 32). Practical meaning: Gemma is the higher-capability, multimodal, large-context option for structured outputs, tool-driven agents, planning, and internationalized apps. Ministral’s single clear win is constrained rewriting, and it offers substantially lower token costs.

Pricing difference: Gemma input $0.13/mtok and output $0.38/mtok; Ministral input/output $0.10/mtok. Gemma's output rate is 3.8× Ministral's (0.38/0.10). Assuming a 50/50 split of input/output tokens: - 1M tokens/month (500 mtok input + 500 mtok output): Gemma ≈ $255; Ministral ≈ $100. - 10M tokens/month: Gemma ≈ $2,550; Ministral ≈ $1,000. - 100M tokens/month: Gemma ≈ $25,500; Ministral ≈ $10,000. Who should care: teams with heavy output volumes or high-concurrency production systems will see large absolute dollar differences and should weigh Gemma's higher capability against ~2.55× total cost in this 50/50 example. Cost-sensitive applications, prototypes, and low-latency edge deployments will prefer Ministral 3 3B 2512.

Choose Gemma 4 31B if you need best-in-suite capabilities for tool-calling, strategic analysis, agentic planning, structured JSON outputs, multimodal video->text inputs, or a larger 262,144-token context window — accept higher token costs for higher capability. Choose Ministral 3 3B 2512 if budget and token efficiency matter, if you need top-tier constrained rewriting (compression/short-form limits), or if you want a capable lightweight multimodal model with a smaller 131,072-token window.