DeepSeek V3.2 vs GPT-5 mini
The two most popular budget AI models. Compare pricing, context windows, and find the best value for your high-volume workloads.
Pricing data verified: Jun 10, 2026
| Specification | DeepSeek V3.2 (DeepSeek) | GPT-5 mini (OpenAI) |
|---|---|---|
| Input Price (per 1M tokens) | $0.23 | $0.25 |
| Output Price (per 1M tokens) | $0.34 | $2.00 |
| Context Window | 128K tokens | 272K tokens |
| Tier | Budget | Budget |
| Provider | DeepSeek | OpenAI |
| Input Savings vs Other | 83% cheaper output | 2.1x more context |
Calculate Your Exact Costs
Budget tier — maximum value for high-volume, cost-sensitive workloads.
Other Budget Models
Which Budget Model for Which Use Case?
High-Volume Chatbot
Customer-facing chatbot with thousands of daily requests. DeepSeek V3.2's 83% cheaper output pricing makes a huge difference at scale.
Long Document Processing
Processing documents over 128K tokens — legal contracts, research papers, codebases. Only GPT-5 mini's 272K context handles this.
Code Assistant
AI-powered coding help, code review, refactoring. Both models are strong. DeepSeek V3.2 offers better cost per request for high-volume use.
Content Generation
Blog posts, marketing copy, product descriptions. Both handle this well. DeepSeek V3.2 at $0.23/$0.34 vs GPT-5 mini at $0.25/$2 — DeepSeek V3.2 is 83% cheaper on output.
Building on a budget?
APIpulse Pro lets you compare all 39 models, save scenarios, and find the cheapest option for your exact usage pattern.
Frequently Asked Questions
Is DeepSeek V3.2 cheaper than GPT-5 mini?
Yes, DeepSeek V3.2 is slightly cheaper on input and significantly cheaper on output. DeepSeek V3.2 costs $0.23/M input and $0.34/M output, while GPT-5 mini costs $0.25/M input and $2/M output. DeepSeek V3.2 is 8% cheaper on input and 83% cheaper on output tokens.
Which has a larger context window?
GPT-5 mini has a much larger context window at 272K tokens compared to DeepSeek V3.2's 128K tokens. If your use case involves processing moderately long documents or conversations, GPT-5 mini gives you 2.1x more context.
When should I choose DeepSeek V3.2 over GPT-5 mini?
Choose DeepSeek V3.2 when you need: (1) Maximum cost savings (83% cheaper output), (2) Tasks where DeepSeek's training gives competitive results, (3) Projects that can leverage open-source models. For most use cases, GPT-5 mini offers better value per dollar due to larger context.
Can I mix DeepSeek V3.2 and GPT-5 mini to optimize costs?
Yes. Use DeepSeek V3.2 for most requests (83% cheaper output) and route long-context tasks (>128K tokens) to GPT-5 mini. This multi-model strategy can save 40-60% vs using GPT-5 mini for everything.