MiniMax M2 vs Qwen3 Coder Next
minimax/minimax-m2 · qwen/qwen3-coder-next
As of November 3, 2026, Qwen3 Coder Next is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0079 per million output, versus $0.0023 / $0.0093 for MiniMax M2, about 17% 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 Qwen3 Coder Next to cut cost; choose MiniMax M2 when context size wins. MiniMax M2 carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.
MiniMax M2 vs Qwen3 Coder Next, side by side
| Spec | MiniMax M2 | Qwen3 Coder Next |
|---|---|---|
| Price · input / 1M | $0.0023 | $0.0012 |
| Price · output / 1M | $0.0093 | $0.0079 |
| Context length | 1,000,000 | 256,000 |
| Max output tokens | 8,000 | 16,000 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| % off list | 99.1% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
MiniMax M2 vs Qwen3 Coder Next — FAQ
Is MiniMax M2 or Qwen3 Coder Next cheaper?
Qwen3 Coder Next is cheaper on a blended token mix, by about 17%. 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 M2 and Qwen3 Coder Next?
MiniMax M2: $0.0023 in / $0.0093 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 17% blended difference. Prices are live; UberLLM adds no fee.
Can I use both MiniMax M2 and Qwen3 Coder Next 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.