GPT-5 Mini vs MiniMax M2.5
Complete pricing and performance comparison between OpenAI's GPT-5 Mini and MiniMax's MiniMax M2.5.
Quick Verdict
Cheaper
GPT-5 Mini (input) / MiniMax M2.5 (output)
Input: 1.2x diff, Output: 1.7x diff
Larger Context
GPT-5 Mini
400K vs 128K
Higher Quality
MiniMax M2.5
Score: 42 vs 41
Faster
GPT-5 Mini
82 vs 48 tok/s
Pricing Comparison
| Spec | GPT-5 Mini | MiniMax M2.5 | Difference |
|---|---|---|---|
| Provider | OpenAI | MiniMax | |
| Input / 1M tokens | $0.25 | $0.3 | GPT-5 Mini is 17% more expensive |
| Output / 1M tokens | $2 | $1.2 | MiniMax M2.5 is 40% more expensive |
| Context Window | 400K | 128K | 3x difference |
| Max Output | 16K | 33K | |
| Tokenizer | o200k_base | cl100k_base |
Performance Benchmarks
| Metric | GPT-5 Mini | MiniMax M2.5 | Winner |
|---|---|---|---|
| Quality Index | 41 | 42 | MiniMax M2.5 |
| Output Speed | 82 tok/s | 48 tok/s | GPT-5 Mini |
| Time to First Token | 99.18s | 2.47s | MiniMax M2.5 |
| Value (Quality/$) | 164.8 | 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 | GPT-5 Mini | MiniMax M2.5 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0008 | $0.0007 | Same |
10 requests 10K in / 3K out | $0.0085 | $0.0066 | MiniMax M2.5 saves $0.0019 |
100 requests 100K in / 30K out | $0.085 | $0.066 | MiniMax M2.5 saves $0.019 |
1,000 requests 1M in / 300K out | $0.850 | $0.660 | MiniMax M2.5 saves $0.190 |
10,000 requests 10M in / 3M out | $8.50 | $6.60 | MiniMax M2.5 saves $1.90 |
1M requests/mo 1B in / 300M out | $850.00 | $660.00 | MiniMax M2.5 saves $190.00 |
Pros & Cons
GPT-5 Mini Strengths
- +Cheaper input tokens
- +Larger context window (400K vs 128K)
- +Faster output (82 vs 48 tok/s)
MiniMax M2.5 Strengths
- +Cheaper output tokens
- +Higher max output tokens
- +Higher quality score (42 vs 41)
- +Lower latency (faster first token)
When to Use Each Model
Choose GPT-5 Mini for
- →Long documents, large codebases, or multi-turn conversations
- →Real-time applications, chat, or autocomplete
Choose MiniMax M2.5 for
- →Generating long-form content or detailed code
- →Tasks requiring maximum accuracy and reasoning
Frequently Asked Questions
Which is cheaper, GPT-5 Mini or MiniMax M2.5?
For input tokens, GPT-5 Mini is 1.2x cheaper at $0.25/1M tokens. For output tokens, MiniMax M2.5 is 1.7x cheaper at $1.2/1M tokens. At typical usage (1M input + 300K output), GPT-5 Mini costs $0.850 vs MiniMax M2.5 at $0.660.
What's the context window difference?
GPT-5 Mini supports 400K context (400,000 tokens), while MiniMax M2.5 supports 128K (128,000 tokens). GPT-5 Mini can handle 3x more context in a single request.
Which model has better benchmarks?
Quality Index: GPT-5 Mini scores 41 vs MiniMax M2.5 at 42. Speed: GPT-5 Mini generates 82 tok/s vs MiniMax M2.5 at 48 tok/s. Time to first token: GPT-5 Mini at 99.18s vs MiniMax M2.5 at 2.47s.
When should I choose GPT-5 Mini over MiniMax M2.5?
Choose GPT-5 Mini when you need: Cheaper input tokens, Larger context window (400K vs 128K), Faster output (82 vs 48 tok/s). Choose MiniMax M2.5 when you need: Cheaper output tokens, Higher max output tokens, Higher quality score (42 vs 41), Lower latency (faster first token).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): GPT-5 Mini = $8.50, MiniMax M2.5 = $6.60. At 10K input + 1K output per request (longer conversations): GPT-5 Mini = $45.00, MiniMax M2.5 = $42.00.