·10 min read·Model Comparison

Claude Opus 4.6 vs GPT-5.4: Full Comparison 2026

Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.4 are the two most powerful AI models available in 2026. But which one should you use? We compare pricing, benchmarks, speed, and real-world capabilities using live data.

⚡ Quick Verdict

Choose Claude Opus 4.6 if you need:
  • • Superior coding and instruction-following
  • • Strong safety and alignment guarantees
  • • Long-form content generation
Choose GPT-5.4 if you need:
  • • Broadest ecosystem and tool integrations
  • • Multimodal capabilities (vision, audio)
  • • Maximum context window

Pricing Comparison

API pricing per 1 million tokens — the fundamental cost unit for LLM usage. Data refreshed hourly.

Metric
Claude Opus 4.6
GPT-5.4
Winner
Input $/M tokens$5.00$2.50wins →
Output $/M tokens$25.00$15.00wins →
Blended (3:1)$10.00$5.63wins →

💡 The blended price assumes a 3:1 input/output ratio, typical for most API usage patterns.Calculate your exact cost →

Speed & Latency

Output Speed (tok/s)
55vs84
Claudevs
GPTwins →
Time to First Token (s)
1.72vs147.97
Claudevs
GPT← wins

Benchmark Comparison

Head-to-head across 12 benchmarks covering intelligence, coding, math, reasoning, and more.

Coding Index
47.657.3
GPQA Diamond
84.0%92.0%
SciCode
45.7%56.6%
IFBench
44.6%73.9%
TerminalBench
48.5%57.6%

Data from Artificial Analysis.See full benchmark leaderboard →

Best Use Cases

Claude Opus 4.6 Excels At

  • 💻 Code generation and large codebase refactoring
  • 📝 Long-form writing and document analysis
  • 🎯 Precise instruction following (high IFBench)
  • 🔒 Safety-critical applications

GPT-5.4 Excels At

  • 🌐 Multimodal tasks (vision, audio, files)
  • 🔌 Plugin ecosystem and tool integrations
  • 📊 Data analysis and structured output
  • High-throughput production workloads

The Bottom Line

Both Claude Opus 4.6 and GPT-5.4 are exceptional models. The "best" choice depends on your specific needs: prioritize Claude for coding and instruction-following tasks, GPT-5.4 for multimodal and ecosystem advantages. For cost-sensitive applications, compare the blended pricing above — even small per-token differences compound at scale.

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