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MiniMax M2.5 vs DeepSeek R1
A detailed comparison of MiniMax M2.5 (MiniMax) and DeepSeek R1 (DeepSeek) across pricing, performance, and features.
Pricing Comparison
| Metric | MiniMax M2.5 | DeepSeek R1 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.30 | $0.55 | +83% |
| Output / 1M tokens | $1.20 | $2.19 | +83% |
| Context window | 200K | 128K | — |
| Max output | 128K | 64K | — |
Benchmark Comparison
| Benchmark | MiniMax M2.5 | DeepSeek R1 |
|---|---|---|
| MMLU-Pro | 82% | 84% |
| HumanEval | 90% | 92% |
| GPQA | — | 71.5% |
Capabilities
| Capability | MiniMax M2.5 | DeepSeek R1 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
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
DeepSeek R1 Strengths
- ✓Cheapest reasoning model available
- ✓Strong math and science performance
- ✓Open-source with off-peak discounts
DeepSeek R1 Weaknesses
- ✗Slower than non-reasoning models
- ✗No vision or tool-use
- ✗China-based — availability concerns
Quick Verdict
Best value: MiniMax M2.5 is the more affordable option at $0.3/$1.2 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 MiniMax M2.5 if cost matters most. Choose DeepSeek R1 if you need the best possible quality for complex tasks.