Codex Mini vs DeepSeek R1 V3.2
Compare OpenAI and DeepSeek AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codex Mini
DeepSeek R1 V3.2
Cost Differences
DeepSeek R1 V3.2 costs less than Codex Mini
Feature Comparison
| Feature | Codex Mini | DeepSeek R1 V3.2 |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Input Price | $1.50/1M tokens | $0.28/1M tokens |
| Output Price | $6.00/1M tokens | $0.42/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 65,536 tokens |
| Category | efficient | reasoning |
| Capabilities | textcodereasoning | textreasoningcode |
| Release Date | 2/2/2026 | 1/20/2025 |
Codex Mini vs DeepSeek R1 V3.2: Which Should You Choose?
Choosing between Codex Mini and DeepSeek R1 V3.2 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens — 81% cheaper than Codex Mini. Meanwhile, Codex Mini offers a significantly larger context window at 200,000 tokens vs 128,000 for DeepSeek R1 V3.2.
These models come from different providers — OpenAI and DeepSeek — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to DeepSeekinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Codex Mini is a efficient model while DeepSeek R1 V3.2 is reasoning. This means they're optimized for different workloads. DeepSeek R1 V3.2 targets more demanding workloads, while Codex Mini provides a cost-effective option for everyday tasks.
Output costs matter too. Codex Mini charges $6.00/1M output tokens vs $0.42 for DeepSeek R1 V3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.
Best Use Cases
Choose Codex Mini when:
- • You need a larger context window (200,000 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose DeepSeek R1 V3.2 when:
- • Budget is a primary concern
- • You need longer outputs (up to 65,536 tokens)
- • You're already using DeepSeek's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codex Mini (OpenAI)
DeepSeek R1 V3.2 (DeepSeek)
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