ChatGPT vs Claude: Full Pricing Comparison (2026)
A detailed breakdown of OpenAI GPT-5.4 vs Anthropic Claude Opus 4.6 pricing. Compare input, output, and cached token costs to find the best value for your use case.
Choosing between ChatGPT (OpenAI) and Claude (Anthropic) in 2026 comes down to what you’re building and how much you’re willing to spend. Both providers have released major new models this year, and the pricing landscape has shifted significantly.
Here’s the full breakdown.
Quick Comparison: GPT-5.4 vs Claude Opus 4.6
| GPT-5.4 | Claude Opus 4.6 | |
|---|---|---|
| Input | $2.50 / 1M tokens | $5.00 / 1M tokens |
| Cached Input | $0.25 / 1M tokens | $0.50 / 1M tokens |
| Output | $15.00 / 1M tokens | $25.00 / 1M tokens |
| Context Window | 270K tokens | 1M tokens |
| Max Output | 32K tokens | 128K tokens |
Bottom line: GPT-5.4 is 50% cheaper on input and 40% cheaper on output than Claude Opus 4.6. But Claude gives you nearly 4x the context window and 4x the max output length.
Mid-Tier: GPT-5.4 mini vs Claude Sonnet 4.6
For most production workloads, you’re probably looking at the mid-tier models:
| GPT-5.4 mini | Claude Sonnet 4.6 | |
|---|---|---|
| Input | $0.75 / 1M tokens | $3.00 / 1M tokens |
| Cached Input | $0.075 / 1M tokens | $0.30 / 1M tokens |
| Output | $4.50 / 1M tokens | $15.00 / 1M tokens |
| Context Window | 270K tokens | 1M tokens |
GPT-5.4 mini is 4x cheaper on input and 3.3x cheaper on output than Claude Sonnet 4.6. This is a massive cost difference for high-volume applications.
However, Claude Sonnet 4.6 is widely regarded as the strongest coding model available, and its 1M-token context window is a genuine advantage for large codebases.
Budget Tier: GPT-5.4 nano vs Claude Haiku 4.5
| GPT-5.4 nano | Claude Haiku 4.5 | |
|---|---|---|
| Input | $0.20 / 1M tokens | $1.00 / 1M tokens |
| Cached Input | $0.02 / 1M tokens | $0.10 / 1M tokens |
| Output | $1.25 / 1M tokens | $5.00 / 1M tokens |
| Context Window | 270K tokens | 200K tokens |
GPT-5.4 nano is 5x cheaper than Claude Haiku 4.5. For simple, high-volume tasks like classification, extraction, or routing, this cost difference is significant.
When to Choose OpenAI (GPT-5.4)
- Cost-sensitive production workloads — significantly cheaper across all tiers
- Batch processing — 50% discount via Batch API
- Multimodal (images, audio, realtime) — broader modality support
- High-volume, simple tasks — nano tier is extremely affordable
When to Choose Anthropic (Claude)
- Coding and development — Claude Sonnet 4.6 excels at code generation and review
- Long-context tasks — 1M-token window vs 270K
- Agent workflows — Claude’s extended thinking and agentic capabilities are industry-leading
- Long-form output — 128K max output vs 32K
The Hidden Cost: Cached Input Pricing
Both providers offer cached input pricing, but the savings differ:
- OpenAI: 90% discount (e.g., $2.50 → $0.25)
- Anthropic: 90% discount (e.g., $5.00 → $0.50)
If your application reuses the same system prompt or context across requests, cached pricing dramatically reduces your costs. Factor this into your decision.
Real-World Cost Example
Let’s say you’re processing 10 million input tokens and 2 million output tokens per day:
GPT-5.4 mini:
- Input: 10M × $0.75/1M = $7.50
- Output: 2M × $4.50/1M = $9.00
- Daily total: $16.50 ($495/month)
Claude Sonnet 4.6:
- Input: 10M × $3.00/1M = $30.00
- Output: 2M × $15.00/1M = $30.00
- Daily total: $60.00 ($1,800/month)
That’s a $1,305/month difference — or $15,660/year.
Our Recommendation
For most teams in 2026:
- Use GPT-5.4 mini as your default — best price-to-performance ratio
- Use Claude Sonnet 4.6 for coding tasks — worth the premium for code quality
- Use GPT-5.4 nano for high-volume simple tasks — unbeatable at $0.20/1M input
- Use Claude Opus 4.6 only when you need the best — the premium is steep but justified for complex reasoning
Use our token calculator to model your specific usage and find the cheapest option.