MiniMax M3 vs GPT 5 Mini
minimax/minimax-m3 · openai/gpt-5-mini
As of November 4, 2026, MiniMax M3 is the cheaper API on UberLLM: $0.0170 per million input tokens and $0.0682 per million output, versus $0.0617 / $0.4938 for GPT 5 Mini, about 86% 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 MiniMax M3 to cut cost; choose GPT 5 Mini when context size wins. GPT 5 Mini carries the larger context window (400,000 vs 200,000 tokens), which can matter for long-document work.
MiniMax M3 vs GPT 5 Mini, side by side
| Spec | MiniMax M3 | GPT 5 Mini |
|---|---|---|
| Price · input / 1M | $0.0170 | $0.0617 |
| Price · output / 1M | $0.0682 | $0.4938 |
| Context length | 200,000 | 400,000 |
| Max output tokens | 32,768 | 128,000 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 94.3% off | 75.3% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
MiniMax M3 vs GPT 5 Mini — FAQ
Is MiniMax M3 or GPT 5 Mini cheaper?
MiniMax M3 is cheaper on a blended token mix, by about 86%. 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 MiniMax M3 and GPT 5 Mini?
MiniMax M3: $0.0170 in / $0.0682 out per 1M tokens. GPT 5 Mini: $0.0617 in / $0.4938 out per 1M tokens. That's roughly a 86% blended difference. Prices are live; UberLLM adds no fee.
Can I use both MiniMax M3 and GPT 5 Mini 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.