GPT-4.1 mini vs GPT-5.3 Codex
GPT-4.1 mini vs GPT-5.3 Codex: GPT-4.1 mini is cheaper for input-heavy usage ($0.40/M vs $1.75/M input tokens), while GPT-5.3 Codex is better for long-context tasks (256,000 tokens).
Direct answer: choose GPT-4.1 mini for lower token spend and choose GPT-5.3 Codex 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-4.1 mini
GPT-5.3 Codex
Cost Differences
GPT-5.3 Codex costs more than GPT-4.1 mini
Quick Recommendation
Winner for direct API pricing: GPT-4.1 mini. At the default workload, GPT-4.1 mini saves about $22.65/month ($275.575/year) versus GPT-5.3 Codex.
Feature Comparison
| Feature | GPT-4.1 mini | GPT-5.3 Codex |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $0.40/1M tokens | $1.75/1M tokens |
| Output Price | $1.60/1M tokens | $14.00/1M tokens |
| Context Window | 200,000 tokens | 256,000 tokens |
| Max Output | 16,384 tokens | 32,768 tokens |
| Category | efficient | coding |
| Capabilities | textvisioncode | textcode |
| Release Date | 4/14/2025 | 3/1/2026 |
GPT-4.1 mini vs GPT-5.3 Codex: Which Should You Choose?
Choosing between GPT-4.1 mini and GPT-5.3 Codex depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 mini is the more affordable option at $0.40/1M input tokens — 77% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 200,000 for GPT-4.1 mini.
These models target different tiers: GPT-4.1 mini is a efficient model while GPT-5.3 Codex is coding. This means they're optimized for different workloads. GPT-5.3 Codex targets more demanding workloads, while GPT-4.1 mini provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-4.1 mini charges $1.60/1M output tokens vs $14.00 for GPT-5.3 Codex. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4.1 mini has the edge here at $1.60/1M output tokens.
Multimodal capabilities: GPT-4.1 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-4.1 mini when:
- • Budget is a primary concern
- • You need more capabilities (vision)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5.3 Codex when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
GPT-4.1 mini
- • Input pricing: $0.40/M tokens
- • Output pricing: $1.60/M tokens
- • Context window: 200,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Smaller context window than GPT-5.3 Codex
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-4.1 mini
- • Higher output cost than GPT-4.1 mini
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4.1 mini (OpenAI)
GPT-5.3 Codex (OpenAI)
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