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GPT-4o Mini vs MiniMax M2.5
A detailed comparison of GPT-4o Mini (OpenAI) and MiniMax M2.5 (MiniMax) across pricing, performance, and features.
Pricing Comparison
| Metric | GPT-4o Mini | MiniMax M2.5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.15 | $0.30 | +100% |
| Output / 1M tokens | $0.60 | $1.20 | +100% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 128K | — |
Benchmark Comparison
| Benchmark | GPT-4o Mini | MiniMax M2.5 |
|---|---|---|
| MMLU-Pro | 68% | 82% |
| HumanEval | 87.2% | 90% |
Capabilities
| Capability | GPT-4o Mini | MiniMax M2.5 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✗ |
GPT-4o Mini Strengths
- ✓Extremely cheap
- ✓Fast responses
- ✓Good enough for many production tasks
GPT-4o Mini Weaknesses
- ✗Weaker reasoning than full models
- ✗Can hallucinate more on complex topics
MiniMax M2.5 Strengths
- ✓Frontier quality at budget pricing ($0.30/$1.20)
- ✓80.2% SWE-Bench Verified — among the best
- ✓Open-source (MIT) with 10B active params — easy to run
MiniMax M2.5 Weaknesses
- ✗Text-only — no vision or audio
- ✗No tool-use support
- ✗Newer provider — smaller ecosystem
Quick Verdict
Best value: GPT-4o Mini is the more affordable option at $0.15/$0.6 per 1M tokens.
Higher benchmarks: MiniMax M2.5 scores higher on average across available benchmarks (86.0% avg).
Larger context: MiniMax M2.5 supports 200K tokens.
Choose GPT-4o Mini if cost matters most. Choose MiniMax M2.5 if you need the best possible quality for complex tasks.