DeepSeek R1 vs MiniMax M2.5
Complete pricing and performance comparison between DeepSeek's DeepSeek R1 and MiniMax's MiniMax M2.5.
Quick Verdict
Cheaper
MiniMax M2.5
4.5x cheaper input, 4.5x cheaper output
Larger Context
DeepSeek R1
128K vs 128K
Higher Quality
MiniMax M2.5
Score: 42 vs 27
Pricing Comparison
| Spec | DeepSeek R1 | MiniMax M2.5 | Difference |
|---|---|---|---|
| Provider | DeepSeek | MiniMax | |
| Input / 1M tokens | $1.35 | $0.3 | MiniMax M2.5 is 78% more expensive |
| Output / 1M tokens | $5.4 | $1.2 | MiniMax M2.5 is 78% more expensive |
| Context Window | 128K | 128K | Same |
| Max Output | 33K | 33K |
Performance Benchmarks
| Metric | DeepSeek R1 | MiniMax M2.5 | Winner |
|---|---|---|---|
| Quality Index | 27 | 42 | MiniMax M2.5 |
| Output Speed | -- | 48 tok/s | N/A |
| Time to First Token | 0.00s | 2.47s | DeepSeek R1 |
| Value (Quality/$) | 20.1 | 139.7 | Higher = better value |
Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.
Cost at Scale
Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).
| Usage | DeepSeek R1 | MiniMax M2.5 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0030 | $0.0007 | MiniMax M2.5 saves $0.0023 |
10 requests 10K in / 3K out | $0.030 | $0.0066 | MiniMax M2.5 saves $0.023 |
100 requests 100K in / 30K out | $0.297 | $0.066 | MiniMax M2.5 saves $0.231 |
1,000 requests 1M in / 300K out | $2.97 | $0.660 | MiniMax M2.5 saves $2.31 |
10,000 requests 10M in / 3M out | $29.70 | $6.60 | MiniMax M2.5 saves $23.10 |
1M requests/mo 1B in / 300M out | $2970.00 | $660.00 | MiniMax M2.5 saves $2310.00 |
Pros & Cons
DeepSeek R1 Strengths
Part of the DeepSeek ecosystem
MiniMax M2.5 Strengths
- +Cheaper input tokens
- +Cheaper output tokens
- +Higher quality score (42 vs 27)
When to Use Each Model
Choose DeepSeek R1 for
- →Projects already integrated with DeepSeek's ecosystem
Choose MiniMax M2.5 for
- →Budget-conscious projects where cost is the primary factor
- →Tasks requiring maximum accuracy and reasoning
Frequently Asked Questions
Which is cheaper, DeepSeek R1 or MiniMax M2.5?
For input tokens, MiniMax M2.5 is 4.5x cheaper at $0.3/1M tokens. For output tokens, MiniMax M2.5 is 4.5x cheaper at $1.2/1M tokens. At typical usage (1M input + 300K output), DeepSeek R1 costs $2.97 vs MiniMax M2.5 at $0.660.
What's the context window difference?
DeepSeek R1 supports 128K context (128,000 tokens), while MiniMax M2.5 supports 128K (128,000 tokens). MiniMax M2.5 can handle 1x more context in a single request.
Which model has better benchmarks?
Quality Index: DeepSeek R1 scores 27 vs MiniMax M2.5 at 42.
When should I choose DeepSeek R1 over MiniMax M2.5?
Choose DeepSeek R1 when you need: a DeepSeek ecosystem model. Choose MiniMax M2.5 when you need: Cheaper input tokens, Cheaper output tokens, Higher quality score (42 vs 27).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): DeepSeek R1 = $29.70, MiniMax M2.5 = $6.60. At 10K input + 1K output per request (longer conversations): DeepSeek R1 = $189.00, MiniMax M2.5 = $42.00.