Last verified 2026-02-11 (left) · 2025-12-12 (right)
Claude Opus 4.6 vs GPT-5.2 — Pricing & Capability Comparison
Claude Opus 4.6 charges $5.00 per million input tokens and $25.00 per million output tokens. GPT-5.2 comes in at $1.75 / $14.00. Context windows span 200K vs 400K tokens respectively.
TL;DR — Quick Comparison
- ✓GPT-5.2 is cheaper overall: $15.75 per 1M tokens (in+out) vs $30.00 for Claude Opus 4.6 — saves $14.25 per 1M tokens
- ✓Input pricing: Claude Opus 4.6 $5.00/1M vs GPT-5.2 $1.75/1M
- ✓Output pricing: Claude Opus 4.6 $25.00/1M vs GPT-5.2 $14.00/1M
- ✓Context window: GPT-5.2 offers more (400K vs 200K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
Claude Opus 4.6
$5.00
GPT-5.2
$1.75
GPT-5.2 leads here
Output price (per 1M)
Claude Opus 4.6
$25.00
GPT-5.2
$14.00
GPT-5.2 leads here
Context window
Claude Opus 4.6
200,000 tokens
GPT-5.2
400,000 tokens
GPT-5.2 leads here
Cached input
Claude Opus 4.6
$0.500
GPT-5.2
$0.175
GPT-5.2 leads here
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | Claude Opus 4.6 | GPT-5.2 | Claude Opus 4.6 cached | GPT-5.2 cached |
|---|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.150 | $0.0788 | $0.128 | $0.0709 |
Input-heavy workflow 80% input · 20% output | $0.0900 | $0.0420 | $0.0540 | $0.0294 |
Generation heavy 30% input · 70% output | $0.190 | $0.103 | $0.177 | $0.0985 |
Cached system prompt 90% cached input · 10% fresh output | $0.0700 | $0.0297 | $0.0295 | $0.0156 |
Frequently asked questions
Which is cheaper: Claude Opus 4.6 or GPT-5.2?
GPT-5.2 is cheaper for input tokens at $1.75 per 1M tokens compared to $5.00. For output, GPT-5.2 costs $14.00 per 1M tokens versus $25.00 for Claude Opus 4.6.
What is the cost per 1M tokens for Claude Opus 4.6?
Claude Opus 4.6 pricing: $5.00 per 1M input tokens and $25.00 per 1M output tokens. Context window: 200,000 tokens.
What is the cost per 1M tokens for GPT-5.2?
GPT-5.2 pricing: $1.75 per 1M input tokens and $14.00 per 1M output tokens. Context window: 400,000 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: Claude Opus 4.6 costs $0.0050 input / $0.0250 output. GPT-5.2 costs $0.0018 input / $0.0140 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
GPT-5.2 offers 400,000 tokens (400K) versus 200K for Claude Opus 4.6.
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: Claude Opus 4.6 would cost approximately $100.00, while GPT-5.2 would cost $45.50. GPT-5.2 is more economical for this usage pattern.
Do these models support prompt caching?
Claude Opus 4.6 supports prompt caching at $0.500 per 1M cached tokens, reducing costs for repeated context by up to 90%. GPT-5.2 supports caching at $0.175 per 1M tokens, saving up to 90%.
Which model is best for my use case?
Choose GPT-5.2 for cost-sensitive applications with high input volume. Choose GPT-5.2 if you need 400K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.