Data verified: Aug 15, 2026, 11:13 AM · Prices sourced from official provider pages. Verify current rates before production use.
Data verified: Aug 15, 2026, 11:13 AM · Prices sourced from official provider pages. Verify current rates before production use.
Price, context and performance head to head. Data synced from the provider catalog.
Cheaper
MiniMax M2-her
Larger context
Grok 4.5
Faster
MiniMax M2-her
Higher quality
Grok 4.5
| Feature | Grok 4.5 | MiniMax M2-her |
|---|---|---|
| Provider | xAI | MiniMax |
| Tier | Mid-tier | Budget |
| Input per 1M tokens | $2 | $0.3 |
| Output per 1M tokens | $6 | $1.2 |
| Cached input per 1M | $0.3 | $0.03 |
| Context window | 500K | 65.5K |
| Intelligence index | 56/100 | — |
| Coding index | 72/100 | — |
| Agentic index | 49/100 | — |
| GPQA Diamond | — | — |
| Tau-bench (airline) | — | — |
| Speed | Standard | Fast |
| Vision (image input) | Yes | No |
| Function calling | Yes | No |
| Batch API | No | No |
Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.
MiniMax M2-her saves $19.5/mo vs Grok 4.5
Want us to build it for you?
We integrate Grok 4.5 or MiniMax M2-her into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.
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A token is the unit an AI model processes: usually between half a word and a full word. Rule of thumb: 1,000 tokens ≈ 750 English words. A 20-word sentence is about 26 tokens; a 300-word email is around 400. Models charge for input tokens (your prompt) and output tokens (their answer) separately.