GPT-5.3 Codex vs GPT-5.4 mini
GPT-5.3 Codex vs GPT-5.4 mini: GPT-5.4 mini is cheaper for input-heavy usage ($0.75/M vs $1.75/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)
GPT-5.3 Codex
GPT-5.4 mini
Cost Differences
GPT-5.4 mini costs less than GPT-5.3 Codex
Quick Recommendation
Winner for direct API pricing: GPT-5.4 mini. At the default workload, GPT-5.4 mini saves about $17.25/month ($209.875/year) versus GPT-5.3 Codex.
Feature Comparison
| Feature | GPT-5.3 Codex | GPT-5.4 mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.75/1M tokens | $0.75/1M tokens |
| Output Price | $14.00/1M tokens | $4.50/1M tokens |
| Context Window | 256,000 tokens | 1,050,000 tokens |
| Max Output | 32,768 tokens | 65,536 tokens |
| Category | coding | efficient |
| Capabilities | textcode | textvisioncode |
| Release Date | 3/1/2026 | 3/6/2026 |
GPT-5.3 Codex vs GPT-5.4 mini: Which Should You Choose?
Choosing between GPT-5.3 Codex 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 — 57% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 tokens vs 256,000 for GPT-5.3 Codex.
These models target different tiers: GPT-5.3 Codex is a coding 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 GPT-5.3 Codex provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.3 Codex charges $14.00/1M 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: GPT-5.4 mini supports vision (image inputs) while GPT-5.3 Codex is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-5.3 Codex when:
- • You're already using OpenAI'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 more capabilities (vision)
- • 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
GPT-5.3 Codex
- • Input pricing: $1.75/M tokens
- • Output pricing: $14.00/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 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
GPT-5.3 Codex (OpenAI)
GPT-5.4 mini (OpenAI)
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Which is cheaper, GPT-5.3 Codex or GPT-5.4 mini?▼
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