Gemini 3 Pro vs MiniMax M2.5
Complete pricing and performance comparison between Google's Gemini 3 Pro and MiniMax's MiniMax M2.5.
Quick Verdict
Cheaper
MiniMax M2.5
6.7x cheaper input, 10.0x cheaper output
Larger Context
Gemini 3 Pro
1.0M vs 128K
Higher Quality
Gemini 3 Pro
Score: 48 vs 42
Faster
Gemini 3 Pro
120 vs 48 tok/s
Pricing Comparison
| Spec | Gemini 3 Pro | MiniMax M2.5 | Difference |
|---|---|---|---|
| Provider | MiniMax | ||
| Input / 1M tokens | $2 | $0.3 | MiniMax M2.5 is 85% more expensive |
| Output / 1M tokens | $12 | $1.2 | MiniMax M2.5 is 90% more expensive |
| Context Window | 1.0M | 128K | 8x difference |
| Max Output | 66K | 33K |
Performance Benchmarks
| Metric | Gemini 3 Pro | MiniMax M2.5 | Winner |
|---|---|---|---|
| Quality Index | 48 | 42 | Gemini 3 Pro |
| Output Speed | 120 tok/s | 48 tok/s | Gemini 3 Pro |
| Time to First Token | 26.13s | 2.47s | MiniMax M2.5 |
| Value (Quality/$) | 24.2 | 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 3 Pro | MiniMax M2.5 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0056 | $0.0007 | MiniMax M2.5 saves $0.0049 |
10 requests 10K in / 3K out | $0.056 | $0.0066 | MiniMax M2.5 saves $0.049 |
100 requests 100K in / 30K out | $0.560 | $0.066 | MiniMax M2.5 saves $0.494 |
1,000 requests 1M in / 300K out | $5.60 | $0.660 | MiniMax M2.5 saves $4.94 |
10,000 requests 10M in / 3M out | $56.00 | $6.60 | MiniMax M2.5 saves $49.40 |
1M requests/mo 1B in / 300M out | $5600.00 | $660.00 | MiniMax M2.5 saves $4940.00 |
Pros & Cons
Gemini 3 Pro Strengths
- +Larger context window (1.0M vs 128K)
- +Higher max output tokens
- +Faster output (120 vs 48 tok/s)
- +Higher quality score (48 vs 42)
MiniMax M2.5 Strengths
- +Cheaper input tokens
- +Cheaper output tokens
- +Lower latency (faster first token)
When to Use Each Model
Choose Gemini 3 Pro for
- →Long documents, large codebases, or multi-turn conversations
- →Generating long-form content or detailed code
- →Tasks requiring maximum accuracy and reasoning
- →Real-time applications, chat, or autocomplete
Choose MiniMax M2.5 for
- →Budget-conscious projects where cost is the primary factor
Frequently Asked Questions
Which is cheaper, Gemini 3 Pro or MiniMax M2.5?
For input tokens, MiniMax M2.5 is 6.7x cheaper at $0.3/1M tokens. For output tokens, MiniMax M2.5 is 10.0x cheaper at $1.2/1M tokens. At typical usage (1M input + 300K output), Gemini 3 Pro costs $5.60 vs MiniMax M2.5 at $0.660.
What's the context window difference?
Gemini 3 Pro supports 1.0M context (1,048,576 tokens), while MiniMax M2.5 supports 128K (128,000 tokens). Gemini 3 Pro can handle 8x more context in a single request.
Which model has better benchmarks?
Quality Index: Gemini 3 Pro scores 48 vs MiniMax M2.5 at 42. Speed: Gemini 3 Pro generates 120 tok/s vs MiniMax M2.5 at 48 tok/s. Time to first token: Gemini 3 Pro at 26.13s vs MiniMax M2.5 at 2.47s.
When should I choose Gemini 3 Pro over MiniMax M2.5?
Choose Gemini 3 Pro when you need: Larger context window (1.0M vs 128K), Higher max output tokens, Faster output (120 vs 48 tok/s), Higher quality score (48 vs 42). Choose MiniMax M2.5 when you need: Cheaper input tokens, Cheaper output tokens, Lower latency (faster first token).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Gemini 3 Pro = $56.00, MiniMax M2.5 = $6.60. At 10K input + 1K output per request (longer conversations): Gemini 3 Pro = $320.00, MiniMax M2.5 = $42.00.