Devstral 2 2512 vs Grok 3 Mini

Across our 12-test suite, Devstral 2 2512 wins 6 benchmarks, Grok 3 Mini wins 5, and they tie on 1.

Where Devstral 2 2512 leads:

• Structured output (5 vs 4): Devstral ties for 1st among 54 tested models; Grok 3 Mini ranks 26th. For pipelines requiring strict JSON schema compliance, Devstral is the safer choice.
• Constrained rewriting (5 vs 4): Devstral ties for 1st among 53 models (only 5 models share this score). Grok 3 Mini scores 4, ranking 6th. Both are strong, but Devstral has the edge for hard character-limit compression tasks.
• Agentic planning (4 vs 3): Devstral ranks 16th of 54; Grok 3 Mini ranks 42nd. A meaningful gap — agentic planning covers goal decomposition and failure recovery, critical for autonomous coding agents.
• Strategic analysis (4 vs 3): Devstral ranks 27th of 54; Grok 3 Mini ranks 36th. Both are mid-pack, but Devstral's score is above the p50 median of 4; Grok 3 Mini's 3 falls below it.
• Creative problem solving (4 vs 3): Devstral ranks 9th of 54; Grok 3 Mini ranks 30th. A significant rank gap even though both scores appear close — Grok 3 Mini's 3 scores below the field median here.
• Multilingual (5 vs 4): Devstral ties for 1st among 55 models. Grok 3 Mini ranks 36th with a score of 4 — still solid, but noticeably behind for non-English use cases.

Where Grok 3 Mini leads:

• Tool calling (5 vs 4): Grok 3 Mini ties for 1st among 54 models (17 models share this); Devstral ranks 18th. For function selection, argument accuracy, and sequencing in agentic workflows, Grok 3 Mini is ahead.
• Faithfulness (5 vs 4): Grok 3 Mini ties for 1st among 55 models (33 share this). Devstral ranks 34th. When staying close to source material matters — summarization, RAG, document Q&A — Grok 3 Mini is more reliable in our testing.
• Classification (4 vs 3): Grok 3 Mini ties for 1st among 53 models; Devstral ranks 31st with a score of 3, below the field median. Routing and categorization tasks favor Grok 3 Mini.
• Safety calibration (2 vs 1): Grok 3 Mini ranks 12th of 55; Devstral ranks 32nd. Both scores are below the field median (p50 = 2), but Devstral's score of 1 is the lowest possible — a notable weakness if your use case involves borderline or sensitive requests.
• Persona consistency (5 vs 4): Grok 3 Mini ties for 1st among 53 models; Devstral ranks 38th. For chatbot or character-based applications, Grok 3 Mini holds character better under adversarial prompting.

Tie:

• Long context (5 vs 5): Both tie for 1st among 55 models, though Devstral's 256K context window is twice the size of Grok 3 Mini's 131K — relevant for very long document processing even if retrieval accuracy is equal at 30K+ tokens.

Devstral 2 2512 costs $0.40/M input and $2.00/M output. Grok 3 Mini costs $0.30/M input and $0.50/M output. On output tokens — where most API spend concentrates — Grok 3 Mini is 75% cheaper. At 1M output tokens/month, Devstral costs $2.00 vs $0.50 for Grok 3 Mini: a $1.50 difference barely noticeable. At 10M tokens/month that gap grows to $15,000 vs $5,000 — meaningful for production workloads. At 100M tokens/month: $200,000 vs $50,000 — a $150,000 annual swing that dominates infrastructure budgeting. Developers running high-volume classification, Q&A, or reasoning pipelines where Grok 3 Mini's scores are competitive should strongly consider the cost case. Teams specifically needing Devstral 2 2512's agentic coding strengths or 256K context window (vs Grok 3 Mini's 131K) may find the premium justified, but the cost differential is too large to ignore without a concrete capability reason.

Choose Devstral 2 2512 if you're building agentic coding pipelines, need a 256K context window for long-document workflows, require strict structured/JSON output compliance, or need high-quality multilingual generation. Its description explicitly positions it as a coding-specialist model, and its agentic planning score (4 vs 3) and structured output score (5 vs 4) back that up in our testing. Budget for the $2.00/M output cost.

Choose Grok 3 Mini if you're running classification, RAG pipelines, or tool-calling workflows at high volume and need to control costs. At $0.50/M output it's four times cheaper, and it outscores Devstral 2 2512 on tool calling (5 vs 4), faithfulness (5 vs 4), and classification (4 vs 3) in our benchmarks. Its reasoning token support (accessible raw thinking traces) and logprobs parameter also make it more flexible for developers building explainable or probabilistic systems. If safety calibration matters for your deployment, Grok 3 Mini's score of 2 vs Devstral's 1 is a meaningful differentiator.