Claude Opus 4.6 vs GPT-5.4 Nano

Head-to-head by test (our 12-test suite + external math/code benchmarks):

• Wins for Claude Opus 4.6: creative_problem_solving 5 vs 4 (tied rank 1 of 54 with 7 others — top-tier for non-obvious, feasible ideas); tool_calling 5 vs 4 (tied for 1st with 16 others — strong at selecting functions, arguments, sequencing); faithfulness 5 vs 4 (tied for 1st with 32 others — better at sticking to source material); safety_calibration 5 vs 3 (tied for 1st with 4 others — more reliable refusals/permissions); agentic_planning 5 vs 4 (tied for 1st with 14 others — excels at goal decomposition and failure recovery). These wins show Claude is superior for multi-step agents, tool-enabled workflows, and safety-sensitive production.
• Wins for GPT-5.4 Nano: structured_output 5 vs 4 (tied for 1st with 24 others — best for strict JSON/schema adherence), constrained_rewriting 4 vs 3 (rank 6 of 53 — better at tight compression and character-limit rewrites). If your workload demands exact-format output or aggressive compression, GPT-5.4 Nano leads.
• Ties: strategic_analysis (5/5), classification (3/3), long_context (5/5), persona_consistency (5/5), multilingual (5/5). Both models rank at or near the top on long_context (tied for 1st) and multilingual/persona consistency, so large-context retrieval and non-English work are comparable.
• External benchmarks (Epoch AI): Claude Opus 4.6 scores 78.7% on SWE-bench Verified (Epoch AI), ranking 1 of 12 (sole holder) — supporting Claude’s coding/real-issue resolution strength. On AIME 2025 (Epoch AI), Claude scores 94.4% (rank 4 of 23) vs GPT-5.4 Nano 87.8% (rank 8 of 23), indicating Claude’s edge on hard math problems. Overall, Claude takes the majority of capability-focused benchmarks (5 wins vs 2), while GPT-5.4 Nano outperforms where strict formatting and cost-efficiency matter.

Raw price per 1k tokens (mTok): Claude Opus 4.6 charges $5 input / $25 output; GPT-5.4 Nano charges $0.20 input / $1.25 output. Using a conservative 50/50 input-output split: 1M tokens (1,000 mTok) costs Claude $15,000 and GPT-5.4 Nano $725. At 10M tokens: Claude $150,000 vs GPT-5.4 Nano $7,250. At 100M tokens: Claude $1,500,000 vs GPT-5.4 Nano $72,500. Even counting output-only costs, 1M output tokens would be $25,000 (Claude) vs $1,250 (GPT-5.4 Nano). The 20x priceRatio in the payload means cost is the dominant factor for high-volume applications (streaming inference, ingestion pipelines, large-scale chatbots). Enterprises or workflows that need best-in-class agentic behavior and safety may absorb Claude’s premium; startups and high-throughput services should prefer GPT-5.4 Nano to control spend.

Choose Claude Opus 4.6 if you need: agentic workflows, reliable tool calling, high faithfulness and safety, or best-in-class coding and hard-math performance (78.7% on SWE-bench, 94.4% on AIME 2025). Expect to pay a large premium: $15,000 per 1M tokens under a 50/50 input-output split. Choose GPT-5.4 Nano if you need: extreme cost efficiency (about $725 per 1M tokens with a 50/50 split), top-tier structured output and constrained rewriting, and fast, high-volume inference — ideal for high-throughput chat, formatted APIs, or budget-limited production.