Grok Code Fast 1 vs Ministral 3 14B 2512

Head-to-head on our 12-test suite (scores shown are from our testing):

• Wins for Grok Code Fast 1: safety calibration 2 vs 1 (Grok ranks 12/55; Ministral ranks 32/55) and agentic planning 5 vs 3 (Grok tied for 1st of 54). These matter for agentic coding agents and systems that must refuse harmful prompts while permitting legitimate actions.
• Wins for Ministral 3 14B 2512: strategic analysis 4 vs 3 (B rank 27/54 vs A rank 36/54), constrained rewriting 4 vs 3 (B rank 6/53 vs A rank 31/53), creative problem solving 4 vs 3 (B rank 9/54 vs A rank 30/54), persona consistency 5 vs 4 (B tied for 1st of 53). These wins indicate Ministral is significantly better for ideation, tight-character rewriting, and maintaining role/voice.
• Ties (identical scores): structured output 4/4 (both rank 26/54), tool calling 4/4 (both rank 18/54), faithfulness 4/4 (both rank 34/55), classification 4/4 (both tied for 1st of 53), long context 4/4 (both rank 38/55), multilingual 4/4 (both rank 36/55). For JSON/schema output, tool selection, faithful summarization, classification, and long-context retrieval at 30K+ tokens, both models perform equivalently in our tests. What this means in practice: choose Grok when you need robust planning, failure recovery, and stricter safety handling for agentic workflows. Choose Ministral when you need cheaper, higher-quality creative outputs, tight rewriting under constraints, and stronger persona maintenance. Many routine tasks (structured outputs, tool calling, classification, long-context) will behave similarly on both models according to our benchmarks.

Raw per-mTok (1,000-token) prices: Grok Code Fast 1 output $1.50 / mTok, input $0.20 / mTok; Ministral 3 14B 2512 output $0.20 / mTok, input $0.20 / mTok. At 1M tokens (1,000 mTok) of output-only traffic that's $1,500 (Grok) vs $200 (Ministral). If you account for symmetric input+output traffic (50/50), add $200 in input costs per 1M tokens for both models: combined 1M cost = $1,700 (Grok) vs $400 (Ministral). Scale to 10M tokens: output-only $15,000 vs $2,000; combined ~ $17,000 vs $4,000. At 100M tokens: output-only $150,000 vs $20,000; combined ~ $170,000 vs $40,000. The practical takeaway: Grok is ~7.5× more expensive on output tokens (priceRatio=7.5). High-volume deployments, startups with tight margins, or cost-sensitive consumer apps should prefer Ministral for price; teams that need Grok's agentic planning and safety tradeoffs should budget substantially more.

Choose Grok Code Fast 1 if: you are building agentic coding assistants, planners, or systems that need visible reasoning traces and stronger safety calibration (agentic planning 5, safety calibration 2, but budget for higher per-token cost: $1.50 output/mTok). Choose Ministral 3 14B 2512 if: you need the lowest token cost ($0.20 output/mTok), better creative problem-solving (4 vs 3), constrained rewriting (4 vs 3), and persona consistency (5 vs 4) for chat/assistant or content-generation use cases. If you’ll process 10M+ tokens/month and cost matters, Ministral is the practical choice; if accuracy in planning and safety is critical, Grok may justify the premium.