MiniMax M2.5
by MiniMax · minimax/minimax-m2.5 · #89 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.15
per 1M tokens
Output
$0.90
per 1M tokens
Blended (3:1)
$0.337
3 input : 1 output
Cache read
$0.05
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for MiniMax M2.5 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.337 | $0.0162 | — |
| 50% | $0.30 | $0.0112 | −31% |
| 90% | $0.27 | $0.0072 | −56% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000345 | $0.345 |
| Document summary | 8,000 | 1,000 | $0.0021 | $2.10 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0063 | $6.30 |
| Long-context analysis | 150,000 | 5,000 | $0.027 | $27.00 |
Performance
Intelligence Index
33.7
AA composite quality
Coding Index
—
Math Index
—
Agentic Index
—
Output speed
87 tok/s
median
Time to first token
1.02s
median
Time to first answer
24.07s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 84.8% |
| Humanity's Last Exam | 19.1% |
| SciCode | 42.6% |
| IFBench | 71.6% |
| AA-LCR (Long Context Reasoning) | 66.0% |
| Terminal-Bench Hard | 34.8% |
| τ²-Bench (Telecom) | 95.3% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,249 |
| UI components | 1,215 |
| Data viz | 1,208 |
| SVG | 1,197 |
| 3D | 1,228 |
| Game dev | 1,235 |
| Code categories | 1,240 |
Specs
Context window
205K
tokens
Max output
197K
tokens
Input modalities
text
Tokenizer
Other