Grok Code Fast 1 vs Mistral Small 3.2 24B

Across our 12-test suite, Grok Code Fast 1 wins 6 benchmarks outright, ties 5, and loses 1. Mistral Small 3.2 24B wins 1 and ties 5.

Agentic Planning: Grok Code Fast 1 scores 5/5, tied for 1st among 54 models with 14 others. Mistral Small 3.2 24B scores 4/5, ranked 16th of 54. For multi-step task decomposition and failure recovery — the backbone of agentic coding pipelines — this is Grok Code Fast 1's clearest advantage.

Strategic Analysis: Grok Code Fast 1 scores 3/5 (rank 36 of 54) vs Mistral Small 3.2 24B's 2/5 (rank 44 of 54). Neither model excels here relative to the broader field, but Grok Code Fast 1 is meaningfully ahead. At 2/5, Mistral Small 3.2 24B sits near the bottom quartile for nuanced tradeoff reasoning.

Classification: Grok Code Fast 1 scores 4/5, tied for 1st among 53 models. Mistral Small 3.2 24B scores 3/5, ranked 31st of 53. For routing and categorization tasks, Grok Code Fast 1 outperforms by a full point.

Creative Problem Solving: Grok Code Fast 1 scores 3/5 (rank 30 of 54) vs Mistral Small 3.2 24B's 2/5 (rank 47 of 54). Mistral Small 3.2 24B sits near the bottom of the field here — a significant weakness if your use case requires generating non-obvious ideas.

Safety Calibration: Grok Code Fast 1 scores 2/5 (rank 12 of 55) vs Mistral Small 3.2 24B's 1/5 (rank 32 of 55). Both models score below the field median of 2, but Grok Code Fast 1 is notably safer relative to peers. Mistral Small 3.2 24B's 1/5 puts it in the bottom tier across all 55 tested models.

Persona Consistency: Grok Code Fast 1 scores 4/5 (rank 38 of 53) vs Mistral Small 3.2 24B's 3/5 (rank 45 of 53). Useful for chatbot and character-driven applications — Grok Code Fast 1 holds character under adversarial conditions more reliably.

Constrained Rewriting: This is Mistral Small 3.2 24B's lone benchmark win: 4/5 (rank 6 of 53) vs Grok Code Fast 1's 3/5 (rank 31 of 53). Mistral Small 3.2 24B ranks in the top 12% of models tested on compression within hard character limits — a genuine strength for copywriting or content-optimization pipelines.

Ties (5 benchmarks): Structured output (4/4), tool calling (4/4), faithfulness (4/4), long context (4/4), and multilingual (4/4) are identical. Both models perform at or near the field median on these dimensions, so neither offers a decisive edge for JSON schema compliance, function calling, RAG fidelity, long-document retrieval, or non-English output.

The output cost gap here is substantial: Grok Code Fast 1 charges $1.50/MTok on output while Mistral Small 3.2 24B charges $0.20/MTok — a 7.5x difference. Input costs are similarly skewed: $0.20/MTok vs $0.075/MTok. In practice, at 1M output tokens/month you're paying $1.50 for Grok Code Fast 1 vs $0.20 for Mistral Small 3.2 24B — a $1.30 monthly difference that barely registers. At 10M output tokens/month, that gap grows to $13.00 vs $2.00 — still manageable for most teams. At 100M output tokens/month, the math becomes serious: $150 vs $20, a $130/month delta. For high-volume production workloads generating hundreds of millions of tokens, Mistral Small 3.2 24B's pricing is a meaningful operational advantage. For developers running lower-volume agentic coding pipelines where quality per call matters more than per-token cost, Grok Code Fast 1's premium is easier to justify. Note also that Grok Code Fast 1 uses reasoning tokens, which may further increase effective output token counts compared to a standard model.

Choose Grok Code Fast 1 if your primary use case is agentic coding, multi-step task automation, or any workflow requiring strong planning and failure recovery — it scores 5/5 on agentic planning (tied for 1st of 54) and wins 6 of 12 benchmarks. It's also the better choice when classification accuracy, persona consistency, or creative problem solving matter. The $1.50/MTok output cost is justified at lower to moderate volumes where per-call quality drives outcomes.

Choose Mistral Small 3.2 24B if you need high-volume, cost-sensitive deployment and your workload centers on constrained rewriting, structured output, or tool calling — tasks where it matches or beats Grok Code Fast 1 at 7.5x lower output cost ($0.20/MTok). Its vision capability (text+image input) is also a differentiator if multimodal input processing is part of your pipeline. Be aware of its weaker scores on creative problem solving (2/5, rank 47 of 54) and safety calibration (1/5, rank 32 of 55) — these are real limitations for high-stakes or open-ended generation tasks.