MiniMax M2.7 is $4.72 cheaper per 1M input tokens (94.4% lower; 17.9x difference).
API cost decision in 10 seconds
🔥Claude Opus 4.7 vs 🔥MiniMax M2.7
Pick MiniMax M2.7 for lower cost; pick Claude Opus 4.7 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiniMax M2.7 for lower cost; pick Claude Opus 4.7 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $17.5 for Claude Opus 4.7, saving $16.62 (95% lower).
Cost-first pickMiniMax M2.7
Context-first pickClaude Opus 4.7
Sample savings$16.6295%
10x traffic gap$166.2
Claude Opus 4.7 has more context, but MiniMax M2.7 saves $16.62 on the standard workload. At 10x that traffic, the same price gap is about $166.2. Use the calculator below to replace the sample workload with your own token volume.
MiniMax M2.7 is $23.8 cheaper per 1M output tokens (95.2% lower; 20.8x difference).
Claude Opus 4.7 has 803.39K more context (5.09x larger).
MiniMax M2.7 is $16.62 cheaper on the standard workload (95% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
MiniMax M2.7 has the lower input price; MiniMax M2.7 has the lower output price; Claude Opus 4.7 offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2.7 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $17.5 for Claude Opus 4.7 and $0.88 for MiniMax M2.7.
Choose Claude Opus 4.7 when you care most about larger context window.
Choose MiniMax M2.7 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $17.5 for Claude Opus 4.7, saving $16.62 (95% lower).
- MiniMax M2.7 is $16.62 cheaper on the standard workload (95% lower).
- MiniMax M2.7 is $4.72 cheaper per 1M input tokens (94.4% lower; 17.9x difference).
- MiniMax M2.7 is $23.8 cheaper per 1M output tokens (95.2% lower; 20.8x difference).
- Claude Opus 4.7 has 803.39K more context (5.09x larger).
| Feature | 🔥Claude Opus 4.7 (Anthropic) | 🔥MiniMax M2.7 (MiniMax) |
|---|---|---|
| Input Price prompt tokens per 1M | $5 | $0.28 |
| Completion Price per 1M tokens | $25 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $17.5 | $0.88 |
| Context Window | 1M | 196.61K |
| Release Date | 2026-04-16 | 2026-03-18 |
| Popularity Rank current rank | #2 | #9 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiniMax M2.7 | On the standard 1M input plus 500K output workload, MiniMax M2.7 is estimated at $0.88 vs $17.5 for Claude Opus 4.7, saving $16.62 (95% lower). |
| High-volume input processing | MiniMax M2.7 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiniMax M2.7 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Claude Opus 4.7 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsAnthropic catalog
Review all tracked Anthropic models before deciding whether this matchup is the right shortlist.
Open Anthropic modelsMiniMax catalog
Check other MiniMax models with comparable pricing, context, or release timing.
Open MiniMax modelsOpus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...