Grok 3 Mini vs Mistral Small 3.1 24B

Grok 3 Mini wins 7 of 12 tests in our suite and ties 5; Mistral Small 3.1 24B wins none.

Tool Calling (5 vs 1): The starkest gap in this comparison. Grok 3 Mini scores 5/5, tied for 1st among 54 tested models. Mistral Small 3.1 24B scores 1/5, rank 53 of 54 — and the payload flags a "no_tool calling" quirk, confirming this is a structural limitation, not a marginal performance gap. Any workflow requiring function selection, argument passing, or API orchestration should eliminate Mistral Small 3.1 24B immediately.

Persona Consistency (5 vs 2): Grok 3 Mini scores 5/5 (tied 1st of 53 models); Mistral Small 3.1 24B scores 2/5 (rank 51 of 53). This matters for chatbot products, roleplay applications, and any deployment where the model must maintain a defined character across a conversation without drifting or being jailbroken.

Faithfulness (5 vs 4): Grok 3 Mini scores 5/5 (tied 1st of 55); Mistral Small 3.1 24B scores 4/5 (rank 34 of 55). For summarization, RAG pipelines, or document Q&A, Grok 3 Mini is less likely to introduce hallucinated content from sources.

Creative Problem Solving (3 vs 2): Grok 3 Mini scores 3/5 (rank 30 of 54); Mistral Small 3.1 24B scores 2/5 (rank 47 of 54). Neither excels here — both sit below the 75th percentile (4/5) — but Grok 3 Mini pulls ahead.

Classification (4 vs 3): Grok 3 Mini scores 4/5 (tied 1st of 53); Mistral Small 3.1 24B scores 3/5 (rank 31 of 53). For routing, tagging, or content moderation pipelines, Grok 3 Mini is the more reliable classifier.

Safety Calibration (2 vs 1): Grok 3 Mini scores 2/5 (rank 12 of 55); Mistral Small 3.1 24B scores 1/5 (rank 32 of 55). Both are below the 50th percentile for this test — neither is particularly well-calibrated at refusing harmful requests while permitting legitimate ones — but Grok 3 Mini is meaningfully better.

Constrained Rewriting (4 vs 3): Grok 3 Mini scores 4/5 (rank 6 of 53); Mistral Small 3.1 24B scores 3/5 (rank 31 of 53). Compression tasks with hard character limits favor Grok 3 Mini.

Ties (5 tests): Both models score identically on structured output (4/4), strategic analysis (3/3), long context (5/5), agentic planning (3/3), and multilingual (4/4). Long context is a genuine shared strength — both tie for 1st of 55 models at 5/5, meaning retrieval at 30K+ tokens is reliable from either. Multilingual is also solid from both at 4/5 (rank 36 of 55). Agentic planning (3/5, rank 42 of 54) and strategic analysis (3/5, rank 36 of 54) are weak spots for both models.

Modality note: Mistral Small 3.1 24B supports text+image input per the payload; Grok 3 Mini is text-only. If vision capability is a hard requirement, Mistral Small 3.1 24B is the only option between these two — but confirm this against your deployment needs, as it's the single area where Mistral Small 3.1 24B has an exclusive feature.

Grok 3 Mini costs $0.30 per million input tokens and $0.50 per million output tokens. Mistral Small 3.1 24B costs $0.35 input and $0.56 output — about 17% more on input and 12% more on output. At 1M output tokens/month, that's $0.50 vs $0.56 — a negligible $0.06 difference. At 10M output tokens, the gap grows to $0.60/month. At 100M output tokens — a high-volume production workload — you'd pay $50 vs $56, saving $6/month with Grok 3 Mini. Neither model is expensive relative to the broader market (where output costs reach $25/MTok), so the pricing difference alone would rarely drive a decision. What matters more here is capability: Grok 3 Mini wins on benchmarks AND costs less, which is an unusual combination. Developers optimizing for cost-per-useful-output should factor in that Mistral Small 3.1 24B's tool calling limitation may force architectural workarounds that add real cost.

Choose Grok 3 Mini if: You need tool calling, function execution, or any agentic workflow — the 5/5 vs 1/5 gap here is disqualifying for Mistral Small 3.1 24B. Also choose Grok 3 Mini for chatbot or persona-driven products (5/5 vs 2/5 on persona consistency), RAG and summarization pipelines requiring faithful output (5/5 vs 4/5), classification and routing tasks (4/5 vs 3/5), or any general-purpose deployment where you want the higher-performing model at a lower price.

Choose Mistral Small 3.1 24B if: Your application requires image understanding — it accepts text+image input while Grok 3 Mini is text-only. That is the one concrete capability advantage Mistral Small 3.1 24B holds in this comparison. If multimodal input is not required, Grok 3 Mini outperforms it across every benchmark category we tested, at a slightly lower cost.