gpt-oss (OpenAI) vs MiniMax M2 / M2.5
Which one should you pick? Here's the full breakdown.
gpt-oss (OpenAI)
OpenAI's FIRST open-weight models -- gpt-oss-120b (single 80GB GPU, near parity with o4-mini on reasoning) and gpt-oss-20b (runs on 16GB edge devices). Apache 2.0. Launched 2025-08-05. gpt-oss-safeguard ships in 2026 as the safety-tuned variant
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 | gpt-oss (OpenAI) | MiniMax M2 / M2.5 |
|---|---|---|
| Ease of Use | 7.0 | 6.5 |
| Output Quality | 8.5 | 9.0 |
| Value | 10.0 | 9.5 |
| Features | 7.0 | 8.5 |
| Overall | 8.1 | 8.4 |
Pricing Comparison
| Feature | gpt-oss (OpenAI) | MiniMax M2 / M2.5 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
MiniMax M2.5 (230B/10B active MoE) benchmarks — gpt-oss (OpenAI) 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 gpt-oss (OpenAI) if...
Developers who want OpenAI-brand open-weight reasoning models for self-hosting or fine-tuning. Particularly good for single-GPU deployments (gpt-oss-120b on one 80GB card) or edge-device reasoning (gpt-oss-20b on 16GB consumer GPUs / Apple Silicon). Also good as a reliable baseline when comparing newer open-weight releases.
Visit gpt-oss (OpenAI)Pick MiniMax M2 / M2.5 if...
- ✓More features (8.5 vs 7)
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
MiniMax M2 / M2.5 edges out gpt-oss (OpenAI) with a 8.4 vs 8.1 overall score. Both are solid picks, but MiniMax M2 / M2.5 has the advantage in output quality.