Gemini (Google) vs MiniMax M2 / M2.5
Which one should you pick? Here's the full breakdown.
Gemini (Google)
Google's LLM with deep Google Workspace integration, 2M token context window, and native code execution
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
| Category | Gemini (Google) | MiniMax M2 / M2.5 |
|---|---|---|
| Ease of Use | 8.0 | 6.5 |
| Output Quality | 8.0 | 9.0 |
| Value | 9.0 | 9.5 |
| Features | 8.0 | 8.5 |
| Overall | 8.3 | 8.4 |
Pricing Comparison
| Feature | Gemini (Google) | MiniMax M2 / M2.5 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
Gemini 3.1 Ultra vs MiniMax M2.5 (230B/10B active MoE)
| Benchmark | Gemini (Google) | MiniMax M2 / M2.5 |
|---|---|---|
| GPQA Diamond | 94.3% | 76.8% |
| HumanEval | 93.5% | 91% |
Which Should You Pick?
Pick Gemini (Google) if...
- ✓Easier to use (8 vs 6.5)
- ✓Stronger on graduate-level science questions (+17.5% on GPQA Diamond)
Google Workspace power users. If you live in Gmail, Docs, and Drive, Gemini Advanced integrates directly into your workflow. Also great for developers who need the cheapest API with the longest context window.
Visit Gemini (Google)Pick MiniMax M2 / M2.5 if...
- ✓Higher output quality (9 vs 8)
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 / M2.5Our Verdict
Gemini (Google) and MiniMax M2 / M2.5 are extremely close overall. Your choice comes down to specific needs -- Gemini (Google) is better for google workspace power users, while MiniMax M2 / M2.5 works best for agentic coding and tool-use workflows on a budget.