GPT-5.2 vs Grok 4.1 Fast

Across our 12-test suite GPT-5.2 wins the majority of decisive tests. In our testing: - GPT-5.2 (scoresA) scores 5 vs Grok 4 on creative problem solving, and ranks tied for 1st with 7 others out of 54 on that test — meaning stronger idea generation for hard, non-obvious tasks. - Safety_calibration: GPT-5.2 = 5 vs Grok 4 = 1; GPT-5.2 is tied for 1st with 4 others out of 55 in safety calibration, while Grok ranks 32 of 55 — significant if you need reliable refusals/permits. - Agentic_planning: GPT-5.2 = 5 vs Grok 4; GPT-5.2 is tied for 1st with 14 others out of 54, Grok ranks 16 of 54 — better goal decomposition and failure-recovery behavior in our tests. - Structured_output is the one clear Grok win: Grok 4.1 Fast = 5 vs GPT-5.2 = 4; Grok is tied for 1st (24 others) on JSON/schema compliance while GPT-5.2 sits at rank 26 of 54 — so Grok is stronger at precise schema/format adherence. - Ten benchmarks tie (strategic analysis, constrained rewriting, tool calling, faithfulness, classification, long context, persona consistency, multilingual): both models often equal (e.g., both score 5 on long context and persona consistency, and both rank tied for 1st in long context and persona consistency). Notable third-party results: in external benchmarks GPT-5.2 scores 73.8% on SWE-bench Verified (Epoch AI) and 96.1% on AIME 2025 (Epoch AI), which supplement our internal results. Context matters: GPT-5.2’s wins indicate stronger safety, planning and creative outputs for complex tasks, while Grok’s structured output lead recommends it for strict schema tasks and cost-sensitive production.

Costs are materially different. Output-only cost at 1M tokens (1,000 mtokens): GPT-5.2 = $14,000; Grok 4.1 Fast = $500. At 10M tokens: GPT-5.2 = $140,000; Grok = $5,000. At 100M tokens: GPT-5.2 = $1,400,000; Grok = $50,000. Including input costs (GPT-5.2 input $1.75/mtok, Grok input $0.20/mtok) raises totals to ~ $15,750 vs $700 at 1M, $157,500 vs $7,000 at 10M, and $1,575,000 vs $70,000 at 100M. Teams with tight budgets or very high token volumes should favor Grok 4.1 Fast; teams that prioritize top-ranked safety, planning, or creative outputs may accept GPT-5.2’s much higher bill.

Choose GPT-5.2 if you need highest safety calibration, top agentic planning, or best creative problem-solving (e.g., complex automation, safety‑critical workflows, R&D prompts) and you can absorb much higher inference costs. Choose Grok 4.1 Fast if you need best-in-class structured output, huge context (2,000,000 token window in the payload), and very low per-token cost for high-volume customer support, retrieval, or schema-driven production systems.