GPT-5 vs DeepSeek V3.2
OpenAI's mid-tier powerhouse versus DeepSeek's ultra-cheap option. Compare pricing, context windows, and find the best value for your workloads.
Pricing data verified: Jun 8, 2026
| Specification | GPT-5 (OpenAI) | DeepSeek V3.2 (DeepSeek) |
|---|---|---|
| Input Price (per 1M tokens) | $1.25 | $0.23 |
| Output Price (per 1M tokens) | $10.00 | $0.34 |
| Context Window | 272K tokens | 128K tokens |
| Tier | Mid | Budget |
| Provider | OpenAI | DeepSeek |
| Price Difference | 2.1x more context | 82-97% cheaper |
Calculate Your Exact Costs
DeepSeek V3.2 is 82-97% cheaper — but GPT-5 has 2.1x more context. Find the sweet spot for your usage.
Other Budget-Friendly Models
Which Model for Which Use Case?
High-Volume Chatbot
Customer-facing chatbot processing thousands of requests daily. DeepSeek V3.2 at $0.23/$0.34 delivers massive savings at scale — up to 97% cheaper than GPT-5.
Long Document Processing
Analyzing documents over 128K tokens — research papers, legal contracts, codebases. GPT-5's 272K context handles these, DeepSeek V3.2's 128K may not.
Code Generation
Generating code, refactoring, explaining code. DeepSeek V3.2 is competitive for routine coding tasks at 82% less cost. GPT-5 excels at complex multi-step debugging.
Batch Data Processing
Processing large volumes of text data, classification, summarization. DeepSeek V3.2's ultra-low pricing makes it ideal for batch workloads.
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?
Yes, dramatically. DeepSeek V3.2 costs $0.23/M input and $0.34/M output, while GPT-5 costs $1.25/M input and $10/M output. DeepSeek V3.2 is 82% cheaper on input tokens and 97% cheaper on output tokens. For a workload of 1M input + 500K output tokens/month, DeepSeek V3.2 costs $0.40 vs GPT-5's $6.25 — saving $5.85/month.
Is DeepSeek V3.2 as good as GPT-5 for coding?
DeepSeek V3.2 is competitive for many coding tasks, especially code generation, refactoring, and explanation. GPT-5 generally outperforms on complex reasoning and multi-step debugging. For budget-conscious developers doing routine coding tasks, DeepSeek V3.2 offers exceptional value at 82% less cost.
What's the context window difference?
GPT-5 has a 272K token context window, while DeepSeek V3.2 has 128K tokens. GPT-5 offers 2.1x more context. For most use cases, 128K is sufficient — roughly 100,000 words. But if you need to process very long documents or maintain extended conversations, GPT-5's larger context is an advantage.
When should I choose GPT-5 over DeepSeek V3.2?
Choose GPT-5 when you need: (1) Context windows over 128K tokens, (2) Complex multi-step reasoning where OpenAI's training excels, (3) Production reliability with OpenAI's infrastructure. Choose DeepSeek V3.2 for: (1) High-volume, cost-sensitive workloads, (2) Routine coding and text tasks, (3) Budget-first applications where 82-97% savings matter more than marginal quality differences.