GPT-5.1 Codex mini vs MiniMax M2
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | GPT-5.1 Codex mini | MiniMax M2 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Input Price | $0.25 /1M tokens | $0.3 /1M tokens |
| Output Price | $2 /1M tokens | $1.2 /1M tokens |
| Cached Input | $0.025 /1M tokens | $0.030 /1M tokens |
| Context Window | 400K | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | GPT-5.1 Codex mini | MiniMax M2 |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: GPT-5.1 Codex mini is 17% cheaper on input tokens ($0.25 vs $0.3 per 1M tokens).
Context-heavy tasks: GPT-5.1 Codex mini offers a larger context window (400K vs 256K), making it better for long documents or conversations.
Capability fit: GPT-5.1 Codex mini supports 1 capabilities (coding), while MiniMax M2 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: GPT-5.1 Codex mini or MiniMax M2?
GPT-5.1 Codex mini costs $0.25/1M input vs MiniMax M2 at $0.3/1M input. GPT-5.1 Codex mini is 17% cheaper on input tokens.
How do output prices compare between GPT-5.1 Codex mini and MiniMax M2?
GPT-5.1 Codex mini output: $2/1M, MiniMax M2 output: $1.2/1M. MiniMax M2 is more economical for generation-heavy workloads.
What is GPT-5.1 Codex mini best used for?
GPT-5.1 Codex mini is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is MiniMax M2 best used for?
MiniMax M2 is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.