Gemini 2.5 Pro vs MiniMax M2.5
Complete pricing and performance comparison between Google's Gemini 2.5 Pro and MiniMax's MiniMax M2.5.
Quick Verdict
Cheaper
MiniMax M2.5
4.2x cheaper input, 8.3x cheaper output
Larger Context
Gemini 2.5 Pro
1.0M vs 128K
Higher Quality
MiniMax M2.5
Score: 42 vs 35
Faster
Gemini 2.5 Pro
128 vs 48 tok/s
Pricing Comparison
| Spec | Gemini 2.5 Pro | MiniMax M2.5 | Difference |
|---|---|---|---|
| Provider | MiniMax | ||
| Input / 1M tokens | $1.25 | $0.3 | MiniMax M2.5 is 76% more expensive |
| Output / 1M tokens | $10 | $1.2 | MiniMax M2.5 is 88% more expensive |
| Context Window | 1.0M | 128K | 8x difference |
| Max Output | 66K | 33K |
Performance Benchmarks
| Metric | Gemini 2.5 Pro | MiniMax M2.5 | Winner |
|---|---|---|---|
| Quality Index | 35 | 42 | MiniMax M2.5 |
| Output Speed | 128 tok/s | 48 tok/s | Gemini 2.5 Pro |
| Time to First Token | 22.13s | 2.47s | MiniMax M2.5 |
| Value (Quality/$) | 27.7 | 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 | Gemini 2.5 Pro | MiniMax M2.5 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0042 | $0.0007 | MiniMax M2.5 saves $0.0036 |
10 requests 10K in / 3K out | $0.042 | $0.0066 | MiniMax M2.5 saves $0.036 |
100 requests 100K in / 30K out | $0.425 | $0.066 | MiniMax M2.5 saves $0.359 |
1,000 requests 1M in / 300K out | $4.25 | $0.660 | MiniMax M2.5 saves $3.59 |
10,000 requests 10M in / 3M out | $42.50 | $6.60 | MiniMax M2.5 saves $35.90 |
1M requests/mo 1B in / 300M out | $4250.00 | $660.00 | MiniMax M2.5 saves $3590.00 |
Pros & Cons
Gemini 2.5 Pro Strengths
- +Larger context window (1.0M vs 128K)
- +Higher max output tokens
- +Faster output (128 vs 48 tok/s)
MiniMax M2.5 Strengths
- +Cheaper input tokens
- +Cheaper output tokens
- +Higher quality score (42 vs 35)
- +Lower latency (faster first token)
When to Use Each Model
Choose Gemini 2.5 Pro for
- →Long documents, large codebases, or multi-turn conversations
- →Generating long-form content or detailed code
- →Real-time applications, chat, or autocomplete
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, Gemini 2.5 Pro or MiniMax M2.5?
For input tokens, MiniMax M2.5 is 4.2x cheaper at $0.3/1M tokens. For output tokens, MiniMax M2.5 is 8.3x cheaper at $1.2/1M tokens. At typical usage (1M input + 300K output), Gemini 2.5 Pro costs $4.25 vs MiniMax M2.5 at $0.660.
What's the context window difference?
Gemini 2.5 Pro supports 1.0M context (1,048,576 tokens), while MiniMax M2.5 supports 128K (128,000 tokens). Gemini 2.5 Pro can handle 8x more context in a single request.
Which model has better benchmarks?
Quality Index: Gemini 2.5 Pro scores 35 vs MiniMax M2.5 at 42. Speed: Gemini 2.5 Pro generates 128 tok/s vs MiniMax M2.5 at 48 tok/s. Time to first token: Gemini 2.5 Pro at 22.13s vs MiniMax M2.5 at 2.47s.
When should I choose Gemini 2.5 Pro over MiniMax M2.5?
Choose Gemini 2.5 Pro when you need: Larger context window (1.0M vs 128K), Higher max output tokens, Faster output (128 vs 48 tok/s). Choose MiniMax M2.5 when you need: Cheaper input tokens, Cheaper output tokens, Higher quality score (42 vs 35), Lower latency (faster first token).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Gemini 2.5 Pro = $42.50, MiniMax M2.5 = $6.60. At 10K input + 1K output per request (longer conversations): Gemini 2.5 Pro = $225.00, MiniMax M2.5 = $42.00.
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