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DeepSeek V3 vs MiniMax M2.5
A detailed comparison of DeepSeek V3 (DeepSeek) and MiniMax M2.5 (MiniMax) across pricing, performance, and features.
Pricing Comparison
| Metric | DeepSeek V3 | MiniMax M2.5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.14 | $0.30 | +114% |
| Output / 1M tokens | $0.28 | $1.20 | +329% |
| Context window | 164K | 200K | — |
| Max output | 16.384K | 128K | — |
Benchmark Comparison
| Benchmark | DeepSeek V3 | MiniMax M2.5 |
|---|---|---|
| MMLU-Pro | 78% | 82% |
| HumanEval | 89% | 90% |
Capabilities
| Capability | DeepSeek V3 | MiniMax M2.5 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
DeepSeek V3 Strengths
- ✓Cheapest capable model available
- ✓Strong coding performance
- ✓Open-source
DeepSeek V3 Weaknesses
- ✗No vision support
- ✗Smaller context than competitors
- ✗China-based — availability concerns
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: DeepSeek V3 is the more affordable option at $0.14/$0.28 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 DeepSeek V3 if cost matters most. Choose MiniMax M2.5 if you need the best possible quality for complex tasks.