DeepSeek V4 Pro 0813 vs GPT-5.2 Codex
deepseek/deepseek-v4-pro-0813 · openai/gpt-5.2-codex
As of November 1, 2026, DeepSeek V4 Pro 0813 is the cheaper API on UberLLM: $0.0310 per million input tokens and $0.0931 per million output, versus $0.4375 / $3.50 for GPT-5.2 Codex, about 97% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose DeepSeek V4 Pro 0813 to cut cost; choose GPT-5.2 Codex when its capabilities fit your task better.
DeepSeek V4 Pro 0813 vs GPT-5.2 Codex, side by side
| Spec | DeepSeek V4 Pro 0813 | GPT-5.2 Codex |
|---|---|---|
| Price · input / 1M | $0.0310 | $0.4375 |
| Price · output / 1M | $0.0931 | $3.50 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 384,000 | 65,536 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 96% off | 75% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
DeepSeek V4 Pro 0813 vs GPT-5.2 Codex — FAQ
Is DeepSeek V4 Pro 0813 or GPT-5.2 Codex cheaper?
DeepSeek V4 Pro 0813 is cheaper on a blended token mix, by about 97%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between DeepSeek V4 Pro 0813 and GPT-5.2 Codex?
DeepSeek V4 Pro 0813: $0.0310 in / $0.0931 out per 1M tokens. GPT-5.2 Codex: $0.4375 in / $3.50 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro 0813 and GPT-5.2 Codex with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.