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Gpt 5 vs Claude Opus 4 7
Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.
Specifications
| Feature | Gpt 5 | Claude Opus 4 7 |
|---|---|---|
| Provider | openai | anthropic |
| Model ID | gpt-5 | claude-opus-4-7 |
| Input / 1M tokens | $1.25 (75% cheaper) | $5.00 |
| Output / 1M tokens | $10.00 (60% cheaper) | $25.00 |
| Cached input / 1M | $0.13 | $0.50 |
| Context window | 272kk tokens | 1000kk tokens |
| Max output | 128kk tokens | 128kk tokens |
| Vision | ✅ | ✅ |
| Function calling | ✅ | ✅ |
| Prompt caching | ✅ | ✅ |
| Web search | ✅ | ⬜ |
| JSON schema | ✅ | ✅ |
Monthly cost comparison
No cache discount applied — pure token costs at three usage scales.
| Scale | Gpt 5 | Claude Opus 4 7 | Winner |
|---|---|---|---|
| Small 1M in / 0.2M out | $3.25 | $10.00 | Gpt 5 saves 68% |
| Medium 10M in / 2M out | $32.50 | $100 | Gpt 5 saves 68% |
| Large 100M in / 20M out | $325 | $1000 | Gpt 5 saves 68% |
Category winners
Cheapest input
Gpt 5
$1.25/M
· 75% less than the other
Cheapest output
Gpt 5
$10.00/M
· 60% less than the other
Larger context
Claude Opus 4 7
1000kk tokens · 268% larger window
More features
Gpt 5
5 / 5 capabilities
Better for…
High-volume RAG & repeated context
$0.13/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gpt 5
Short interactions & high-throughput APIs
$10.00/M output — 60% cheaper on output at scale
Gpt 5
Long-document processing & large codebases
1000k context window vs 272k — 268% larger context
Claude Opus 4 7
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gpt 5
Deep-dive on each model
Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.