Grok 4.1 Fast vs Ministral 3 3B 2512

Across our 12-test suite, Grok 4.1 Fast wins 7 benchmarks, Ministral 3 3B 2512 wins 1, and they tie on 4.

Where Grok 4.1 Fast leads:

• Strategic analysis: 5 vs 2. Grok 4.1 Fast ties for 1st among 54 models; Ministral 3 3B 2512 ranks 44th. This is the largest gap in the comparison — for tasks requiring nuanced tradeoff reasoning with real numbers, the difference is significant.
• Long context: 5 vs 4. Grok 4.1 Fast ties for 1st among 55 models; Ministral 3 3B 2512 ranks 38th. With a 2M context window vs 131K, Grok 4.1 Fast is also structurally better suited to long-document workloads.
• Persona consistency: 5 vs 4. Grok 4.1 Fast ties for 1st among 53 models; Ministral 3 3B 2512 ranks 38th. Relevant for chatbot and roleplay applications.
• Structured output: 5 vs 4. Grok 4.1 Fast ties for 1st among 54 models; Ministral 3 3B 2512 ranks 26th. JSON schema adherence matters in production API pipelines.
• Multilingual: 5 vs 4. Grok 4.1 Fast ties for 1st among 55 models; Ministral 3 3B 2512 ranks 36th.
• Creative problem solving: 4 vs 3. Grok 4.1 Fast ranks 9th of 54; Ministral 3 3B 2512 ranks 30th.
• Agentic planning: 4 vs 3. Grok 4.1 Fast ranks 16th of 54; Ministral 3 3B 2512 ranks 42nd — in the bottom 25% for goal decomposition and failure recovery.

Where Ministral 3 3B 2512 leads:

• Constrained rewriting: 5 vs 4. Ministral 3 3B 2512 ties for 1st among 5 models out of 53; Grok 4.1 Fast ranks 6th. For compression tasks with hard character limits, the 3B model is genuinely competitive.

Ties (both models identical):

• Tool calling: both score 4, both rank 18th of 54 (29 models share this score). Neither has a meaningful edge here.
• Faithfulness: both score 5, both tied for 1st among 55 models.
• Classification: both score 4, both tied for 1st among 53 models.
• Safety calibration: both score 1, both rank 32nd of 55. Neither model excels at refusing harmful requests while permitting legitimate ones — this is a shared weakness relative to the field.

Grok 4.1 Fast costs $0.20/M input and $0.50/M output tokens. Ministral 3 3B 2512 costs $0.10/M input and $0.10/M output tokens — half the input cost and one-fifth the output cost. At 1M output tokens/month, you're paying $0.50 vs $0.10 — a $0.40 difference that's negligible. At 10M output tokens/month, that gap widens to $4.00 vs $1.00, still manageable for most teams. At 100M output tokens/month, the gap is $50 vs $10 — a $40/month difference that starts to matter for high-volume pipelines. The cost question becomes relevant for developers running large-scale classification, content generation, or customer support at volume where Ministral 3 3B 2512's capabilities are sufficient. For agentic or research workflows where quality directly impacts outcomes, Grok 4.1 Fast's premium is typically worth it.

Choose Grok 4.1 Fast if you're building agentic workflows, deep research tools, or customer support systems that require strong strategic reasoning, long-context retrieval over large documents (up to 2M tokens), reliable structured output for API pipelines, or multilingual capabilities. It scores 5/5 on six of our benchmarks and outperforms Ministral 3 3B 2512 on 7 of 12 tests. The $0.50/M output cost is justified when quality directly affects outcomes.

Choose Ministral 3 3B 2512 if your use case is high-volume, cost-sensitive, and centers on tasks where the 3B model is adequate: classification routing (tied for 1st in our tests), faithfulness tasks (also tied for 1st), or constrained rewriting where it actually beats Grok 4.1 Fast. At $0.10/M output tokens, it's the right call for pipelines processing 100M+ tokens monthly where you need acceptable — not exceptional — quality.