MiniMax M2 / M2.5 vs Google Antigravity
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
Google Antigravity
Google's agent-first AI IDE -- deploys up to 5 autonomous coding agents in parallel on a VS Code fork
Powered by Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model)
| Category | MiniMax M2 / M2.5 | Google Antigravity |
|---|---|---|
| Ease of Use | 6.5 | 8.0 |
| Output Quality | 9.0 | 8.5 |
| Value | 9.5 | 6.0 |
| Features | 8.5 | 9.5 |
| Overall | 8.4 | 8.0 |
Pricing Comparison
| Feature | MiniMax M2 / M2.5 | Google Antigravity |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
MiniMax M2.5 (230B/10B active MoE) benchmarks — Google Antigravity has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU-Pro | Harder multi-subject reasoning | 82.1% |
| GPQA Diamond | Graduate-level science questions | 76.8% |
| SWE-Bench Verified | 80.2% | |
| HumanEval | Python code generation | 91% |
| AIME 2025 | 85.3% |
Which Should You Pick?
Pick MiniMax M2 / M2.5 if...
- ✓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 Google Antigravity if...
- ✓Easier to use (8 vs 6.5)
- ✓More features (9.5 vs 8.5)
Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.
Visit Google AntigravityOur Verdict
MiniMax M2 / M2.5 edges out Google Antigravity with a 8.4 vs 8.0 overall score. Both are solid picks, but MiniMax M2 / M2.5 has the advantage in output quality.