GPT-5 vs Claude Opus 4.7 — LLM API Cost Comparison
Compare GPT-5 (OpenAI) vs Claude Opus 4.7 (Anthropic) on cost per million tokens, context window, and monthly spend.
Prices verified 2026-05-20 · Pricing may change — use the calculator for current estimates
- Input
- $1.25/1M tokens
- Output
- $10/1M tokens
- Context
- 128K tokens
- Released
- 2025-02
Most capable OpenAI model; 90% prompt-cache discount
- Input
- $5/1M tokens
- Output
- $25/1M tokens
- Context
- 1M tokens
- Released
- 2026-05
Most capable Anthropic model; step-change in agentic coding
Monthly Cost by Usage Tier (70% input / 30% output ratio)
| Usage | GPT-5 | Claude Opus 4.7 | Cheaper by |
|---|---|---|---|
| Light (1M tokens) | $3.88 | $11.00 | GPT-5 (65%) |
| Moderate (10M tokens) | $38.75 | $110 | GPT-5 (65%) |
| Heavy (100M tokens) | $388 | $1,100 | GPT-5 (65%) |
| Very Heavy (1B tokens) | $3,875 | $11,000 | GPT-5 (65%) |
Frequently Asked Questions
Which is cheaper — GPT-5 or Claude Opus 4.7?
For input tokens, GPT-5 is cheaper at $1.25/1M tokens — 4.0× less than $5/1M. For output tokens, GPT-5 wins at $10/1M vs $25/1M. At heavy workloads (100M tokens/month), the cost difference can be significant.
What is the context window difference between GPT-5 and Claude Opus 4.7?
GPT-5 supports 128,000 tokens per request; Claude Opus 4.7 supports 1,000,000 tokens. Claude Opus 4.7 wins on context length, making it better for long documents, large codebases, or extended conversations without chunking.
When should I choose GPT-5 over Claude Opus 4.7?
Choose GPT-5 (OpenAI) if you prefer OpenAI's ecosystem, tooling, or reliability track record. Most capable OpenAI model; 90% prompt-cache discount. Choose Claude Opus 4.7 (Anthropic) if Most capable Anthropic model; step-change in agentic coding. the price/performance fits your workload better. Use this calculator to find the break-even point for your exact token volume.
How much does 1 billion tokens cost on GPT-5 vs Claude Opus 4.7?
At 700M input + 300M output tokens (1B total): GPT-5 costs $3875; Claude Opus 4.7 costs $11000. The difference is $7125/billion tokens at this 70/30 input/output ratio.