Claude 4 Opus is 12x more expensive on input and 7.5x more expensive on output than GPT-5. For output-heavy workloads like code generation or long-form writing, that price gap adds up fast.
Head-to-Head Comparison
| Feature | Claude 4 Opus | GPT-5 |
|---|---|---|
| Input Price | $15.00 / 1M | $1.25 / 1M |
| Output Price | $75.00 / 1M | $10.00 / 1M |
| Context Window | 200K tokens | 272K tokens |
| Complex Reasoning | Best-in-class | Excellent |
| Code Generation | Excellent (long-horizon) | Excellent |
| Instruction Following | Superior | Very strong |
| Creative Writing | More nuanced | Strong |
| Speed | Slower (Opus-class) | Faster |
| Safety / Alignment | Strongest in class | Strong |
| Ecosystem | Growing (Claude API) | Largest (Assistants, plugins) |
Real-World Cost Comparison
Let's model four common premium use cases to see how the price difference plays out at scale.
| Use Case | Claude 4 Opus | GPT-5 | Savings with GPT-5 |
|---|---|---|---|
| Complex Reasoning (500 req/day, 3K in / 2K out) | $2,925/mo | $1,350/mo | 54% |
| Code Assistant (500 req/day, 2K in / 3K out) | $3,825/mo | $1,650/mo | 57% |
| Long-form Writing (200 req/day, 1K in / 4K out) | $1,980/mo | $840/mo | 58% |
| Document Analysis (200 req/day, 50K in / 2K out) | $4,200/mo | $1,860/mo | 56% |
GPT-5 saves you 54-58% across every scenario. The savings are highest on output-heavy tasks like writing and code generation, where Opus's 2.5x output premium really hurts.
When Claude 4 Opus Is Worth the Premium
Choose Opus if:
- You need the absolute best reasoning — Opus consistently outperforms on complex multi-step reasoning, especially for math, logic, and research tasks
- Long-horizon code tasks — Opus excels at understanding entire codebases and making architectural decisions across many files
- Instruction following is critical — Opus follows complex, nuanced instructions more reliably, reducing retry costs
- Safety is non-negotiable — Anthropic's constitutional AI approach makes Opus the safest premium model for sensitive applications
- You output fewer tokens — If your workload is input-heavy (analysis, classification), the cost gap narrows significantly
When GPT-5 Is the Better Choice
Choose GPT-5 if:
- Budget matters — 54-58% savings is substantial, especially for startups and high-volume applications
- Speed is important — GPT-5 has lower latency, making it better for real-time applications
- You need the OpenAI ecosystem — Assistants API, function calling, plugins, and broader third-party integration
- Output-heavy workloads — If you generate lots of text (code, content, responses), the 2.5x output price gap is brutal
- You're already in the OpenAI ecosystem — Switching costs are real; if your stack is built on OpenAI, GPT-5 is the path of least resistance
The Hidden Cost: Retries and Quality
Raw pricing doesn't tell the whole story. Consider the retry tax:
- If Opus gets a complex task right on the first try but GPT-5 needs 2 attempts, your effective GPT-5 cost doubles
- For simple tasks, both models succeed reliably — GPT-5's price advantage holds
- For complex reasoning chains, Opus's higher first-pass accuracy can offset its price premium
Rule of thumb: If your task requires more than 2 retries on GPT-5 to match Opus quality, Opus becomes cost-competitive despite the higher list price.
The Verdict
For most developers, GPT-5 is the better value. It delivers 90-95% of Opus's quality at 40-46% of the cost, with a larger ecosystem and faster speeds.
Choose Claude 4 Opus when you need absolute best-in-class reasoning, have safety-critical applications, or find that GPT-5's retry rate erases its price advantage. For everything else, GPT-5 gives you premium performance at a mid-tier price.
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