Claude Sonnet 4.5 vs GPT-5.4 mini
Claude Sonnet 4.5 vs GPT-5.4 mini: GPT-5.4 mini is cheaper for input-heavy usage ($0.75/M vs $3.00/M input tokens), while GPT-5.4 mini is better for long-context tasks (1,050,000 tokens).
Direct answer: choose GPT-5.4 mini for lower token spend and choose GPT-5.4 mini when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Sonnet 4.5
GPT-5.4 mini
Cost Differences
GPT-5.4 mini costs less than Claude Sonnet 4.5
Quick Recommendation
Winner for direct API pricing: GPT-5.4 mini. At the default workload, GPT-5.4 mini saves about $22.50/month ($273.75/year) versus Claude Sonnet 4.5.
Feature Comparison
| Feature | Claude Sonnet 4.5 | GPT-5.4 mini |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input Price | $3.00/1M tokens | $0.75/1M tokens |
| Output Price | $15.00/1M tokens | $4.50/1M tokens |
| Context Window | 200,000 tokens | 1,050,000 tokens |
| Max Output | 64,000 tokens | 65,536 tokens |
| Category | balanced | efficient |
| Capabilities | textvisioncode | textvisioncode |
| Release Date | 9/29/2025 | 3/6/2026 |
Claude Sonnet 4.5 vs GPT-5.4 mini: Which Should You Choose?
Choosing between Claude Sonnet 4.5 and GPT-5.4 mini depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.4 mini is the more affordable option at $0.75/1M input tokens — 75% cheaper than Claude Sonnet 4.5. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 tokens vs 200,000 for Claude Sonnet 4.5.
These models come from different providers — Anthropic and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Claude Sonnet 4.5 is a balanced model while GPT-5.4 mini is efficient. This means they're optimized for different workloads. GPT-5.4 mini targets more demanding workloads, while Claude Sonnet 4.5 provides a cost-effective option for everyday tasks.
Output costs matter too. Claude Sonnet 4.5 charges $15.00/1M output tokens vs $4.50 for GPT-5.4 mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.4 mini has the edge here at $4.50/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Claude Sonnet 4.5 when:
- • You're already using Anthropic's API ecosystem
Choose GPT-5.4 mini when:
- • Budget is a primary concern
- • You need a larger context window (1,050,000 tokens)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Claude Sonnet 4.5
- • Input pricing: $3.00/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 64,000 tokens
Watch out for
- • Higher input cost than GPT-5.4 mini
- • Higher output cost than GPT-5.4 mini
- • Smaller context window than GPT-5.4 mini
GPT-5.4 mini
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Sonnet 4.5 (Anthropic)
GPT-5.4 mini (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Claude Sonnet 4.5 or GPT-5.4 mini?▼
What is the context window difference between Claude Sonnet 4.5 and GPT-5.4 mini?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Anthropic and OpenAI API pricing beyond this model matchup?▼
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