MiniMax M2 / M2.5 vs Codex (OpenAI)
Which one should you pick? Here's the full breakdown.
MiniMax M2 / M2.5
MiniMax's open-weights frontier -- first open model to match Claude Opus 4.6 on SWE-Bench at 10-20× lower cost
Codex (OpenAI)
OpenAI's cloud-based coding agent -- runs parallel tasks, proposes PRs, and lives inside ChatGPT
Powered by GPT-5.3-Codex / GPT-5.4
| Category | MiniMax M2 / M2.5 | Codex (OpenAI) |
|---|---|---|
| Ease of Use | 6.5 | 8.0 |
| Output Quality | 9.0 | 8.0 |
| Value | 9.5 | 8.0 |
| Features | 8.5 | 9.0 |
| Overall | 8.4 | 8.3 |
Pricing Comparison
| Feature | MiniMax M2 / M2.5 | Codex (OpenAI) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
MiniMax M2.5 (230B/10B active MoE) vs GPT-5.3-Codex
| Benchmark | MiniMax M2 / M2.5 | Codex (OpenAI) |
|---|---|---|
| HumanEval | 91% | 95% |
Which Should You Pick?
Pick MiniMax M2 / M2.5 if...
- ✓Higher output quality (9 vs 8)
- ✓Better value for money (9.5/10)
Agentic coding and tool-use workflows on a budget. Best price-to-SWE-Bench ratio of any open-weights model in 2026.
Visit MiniMax M2 / M2.5Pick Codex (OpenAI) if...
- ✓Easier to use (8 vs 6.5)
- ✓Stronger on python code generation (+4.0% on HumanEval)
Developers already paying for ChatGPT Plus who want a coding agent at no extra cost. Especially good for parallel task execution -- assign multiple bug fixes or feature branches and let Codex work them simultaneously.
Visit Codex (OpenAI)Our Verdict
MiniMax M2 / M2.5 and Codex (OpenAI) are extremely close overall. Your choice comes down to specific needs -- MiniMax M2 / M2.5 is better for agentic coding and tool-use workflows on a budget, while Codex (OpenAI) works best for developers already paying for chatgpt plus who want a coding agent at no extra cost.