GPT-5.4 vs Grok 3

All internal scores below are from our 12-test suite (1–5). Head-to-head wins and ties: GPT-5.4 wins safety calibration (5 vs 2), creative problem solving (4 vs 3), and constrained rewriting (4 vs 3). Grok 3 wins classification (4 vs 3). They tie on structured output (5/5), strategic analysis (5/5), tool calling (4/4), faithfulness (5/5), long context (5/5), persona consistency (5/5), agentic planning (5/5), and multilingual (5/5). Interpretation and ranks: - Safety_calibration: GPT-5.4 scores 5/5 in our testing and ranks “tied for 1st with 4 other models out of 55 tested,” versus Grok 3 at 2/5 (rank 12 of 55). That means GPT-5.4 will more reliably refuse harmful prompts and permit legitimate ones in our tests. - Long_context & context window: both score 5/5 in our tests and are tied for 1st by ranking, but GPT-5.4 exposes a 1,050,000 token context_window versus Grok 3’s 131,072 — a practical differentiator for retrieval-heavy apps and long documents. - Structured_output & tool calling: both score 5/5 and 4/5 respectively with identical rank positions on tool calling (rank 18 of 54). Expect similar JSON/schema compliance and basic tool-selection behavior in our tests. - Faithfulness & strategic analysis: both 5/5 and tied for top ranks; both models are strong at staying true to sources and doing nuanced tradeoff reasoning in our tests. - Classification: Grok 3 wins 4/5 and is “tied for 1st with 29 other models out of 53 tested,” while GPT-5.4 is 3/5 (rank 31 of 53). Use Grok 3 when routing and categorization accuracy matter. - Creative_problem_solving & constrained rewriting: GPT-5.4’s 4/5 (ranks 9 and 6 of their cohorts) indicates better performance on non-obvious solutions and tight compression tasks in our tests. External benchmarks: beyond our internal suite, GPT-5.4 scores 76.9% on SWE-bench Verified (Epoch AI) — ranking 2 of 12 — and 95.3% on AIME 2025 (Epoch AI) — ranking 3 of 23. Those external results support GPT-5.4’s strength on coding and hard math problems in third-party measures.

Rates (per 1,000 tokens): GPT-5.4 input $2.50, output $15.00; Grok 3 input $3.00, output $15.00. Per million tokens: input = GPT $2,500 vs Grok $3,000; output = $15,000 for both. Using a 50/50 input/output mix: GPT-5.4 costs $8,750 per 1M tokens, $87,500 per 10M, $875,000 per 100M; Grok 3 costs $9,000 per 1M, $90,000 per 10M, $900,000 per 100M. If your workload is all-output (e.g., long generations), both cost $15,000 per 1M tokens. If your workload is input-heavy (large contexts, embeddings-like usage), GPT-5.4 saves $500 per 1M tokens versus Grok 3. Teams running high-volume SaaS or retrieval-heavy apps (10M–100M tokens/month) should care: the 10M/month savings here are $2,500 and 100M/month savings are $25,000 with a balanced input/output mix.

Choose GPT-5.4 if you need: safety-first behavior, creative problem solving, constrained rewriting, or extremely long-context RAG/analysis (1,050,000-token window) and want a lower input token price. Choose Grok 3 if you prioritize classification and routing accuracy (classification 4/5) or prefer its parameter set and enterprise positioning; note Grok 3 has the same output cost but a $0.50/mTok higher input fee.