Grok 3 Mini vs Ministral 3 14B 2512

Across our 12-test suite, Grok 3 Mini wins 4 benchmarks outright, Ministral 3 14B 2512 wins 2, and 6 are tied.

Where Grok 3 Mini leads:

• Tool calling (5 vs 4): Grok 3 Mini ties for 1st among 54 tested models (with 16 others); Ministral 3 14B 2512 ranks 18th of 54. For agentic workflows requiring precise function selection and argument accuracy, this is a meaningful gap.
• Faithfulness (5 vs 4): Grok 3 Mini ties for 1st among 55 models (with 32 others); Ministral 3 14B 2512 ranks 34th of 55. In RAG pipelines where sticking to source material matters, Grok 3 Mini is substantially more reliable in our testing.
• Long context (5 vs 4): Grok 3 Mini ties for 1st among 55 models (with 36 others); Ministral 3 14B 2512 ranks 38th of 55. Note that Ministral 3 14B 2512 has a 262,144-token context window versus Grok 3 Mini's 131,072 — it can handle longer inputs, but retrieval accuracy at 30K+ tokens is better on Grok 3 Mini in our tests.
• Safety calibration (2 vs 1): Both scores are below the median (p50 = 2), but Grok 3 Mini ranks 12th of 55 while Ministral 3 14B 2512 ranks 32nd of 55. Neither model is strong here.

Where Ministral 3 14B 2512 leads:

• Strategic analysis (4 vs 3): Ministral 3 14B 2512 ranks 27th of 54; Grok 3 Mini ranks 36th of 54. For nuanced tradeoff reasoning with real numbers, Ministral 3 14B 2512 has a clear edge.
• Creative problem solving (4 vs 3): Ministral 3 14B 2512 ranks 9th of 54 (with 20 others); Grok 3 Mini ranks 30th of 54. For generating non-obvious, feasible ideas, Ministral 3 14B 2512 performs meaningfully better in our tests.

Tied (both models score equally):

• Structured output (4/4), constrained rewriting (4/4), classification (4/4), persona consistency (5/5), agentic planning (3/3), and multilingual (4/4) are identical across both models. On persona consistency, both tie for 1st among 53 models. On agentic planning, both rank 42nd of 54 — a weak spot for each. On multilingual, both rank 36th of 55, sitting at the median.

Grok 3 Mini is priced at $0.30/Mtok input and $0.50/Mtok output. Ministral 3 14B 2512 is priced at $0.20/Mtok for both input and output — flat rate, no output premium. At 1M output tokens/month, Grok 3 Mini costs $0.50 versus Ministral 3 14B 2512's $0.20, a $0.30 difference that barely registers. At 10M output tokens/month, that gap is $3.00 vs $2.00 — still modest. At 100M output tokens/month, however, you're looking at $50.00 vs $20.00 — a $30/month delta that becomes material for cost-conscious teams. Ministral 3 14B 2512's flat input/output pricing also simplifies budgeting; you don't pay a premium for verbose responses. Grok 3 Mini's reasoning tokens add further cost complexity: tasks that trigger deep thinking chains can push effective output costs higher. Teams running high-throughput inference workloads — chatbots, document processing, classification pipelines — will find Ministral 3 14B 2512 meaningfully cheaper at scale.

Choose Grok 3 Mini if: Your workload centers on agentic tool-calling pipelines, RAG systems where faithfulness to source material is critical, or long-context retrieval tasks. It scored 5/5 on all three in our testing. You also need accessible reasoning traces (its include_reasoning parameter exposes thinking chains). The 2.5x output price premium is justified when these specific capabilities are your priority.

Choose Ministral 3 14B 2512 if: You need strategic analysis or creative ideation — it scores 4/3 over Grok 3 Mini on both in our tests. You're running high-volume workloads where the $0.30/Mtok output cost saving compounds. You need image input support, which Ministral 3 14B 2512 provides and Grok 3 Mini does not. You want a 262K-token context window rather than 131K. Or you need frequency/presence/repetition penalty controls, which Ministral 3 14B 2512 supports and Grok 3 Mini does not.