GPT-5.3 Codex vs o4-mini
GPT-5.3 Codex vs o4-mini: o4-mini is cheaper for input-heavy usage ($1.10/M vs $1.75/M input tokens), while o4-mini is better for long-context tasks (2,000,000 tokens).
Direct answer: choose o4-mini for lower token spend and choose o4-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
o4-mini
Cost Differences
o4-mini costs less than GPT-5.3 Codex
Quick Recommendation
Winner for direct API pricing: o4-mini. At the default workload, o4-mini saves about $16.35/month ($198.925/year) versus GPT-5.3 Codex.
Feature Comparison
| Feature | GPT-5.3 Codex | o4-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.75/1M tokens | $1.10/1M tokens |
| Output Price | $14.00/1M tokens | $4.40/1M tokens |
| Context Window | 256,000 tokens | 2,000,000 tokens |
| Max Output | 32,768 tokens | 131,072 tokens |
| Category | coding | reasoning |
| Capabilities | textcode | textreasoningcode |
| Release Date | 3/1/2026 | 4/16/2025 |
GPT-5.3 Codex vs o4-mini: Which Should You Choose?
Choosing between GPT-5.3 Codex and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. o4-mini is the more affordable option at $1.10/1M input tokens — 37% cheaper than GPT-5.3 Codex. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 256,000 for GPT-5.3 Codex.
These models target different tiers: GPT-5.3 Codex is a coding model while o4-mini is reasoning. This means they're optimized for different workloads. o4-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 $4.40 for o4-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o4-mini has the edge here at $4.40/1M output tokens.
Best Use Cases
Choose GPT-5.3 Codex when:
- • You're already using OpenAI's API ecosystem
Choose o4-mini when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
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 o4-mini
- • Higher output cost than o4-mini
- • Smaller context window than o4-mini
o4-mini
- • Input pricing: $1.10/M tokens
- • Output pricing: $4.40/M tokens
- • Context window: 2,000,000 tokens
- • Max output: 131,072 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)
o4-mini (OpenAI)
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Which is cheaper, GPT-5.3 Codex or o4-mini?▼
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