These solve different problems. Claude is the premium generalist; MiniMax-M2 is a lean tool-use specialist — 10B active parameters tuned for agent loops, MIT-licensed, and radically cheaper to run per step. Agents that execute hundreds of tool calls per task feel M2's economics immediately. Use Claude where judgment quality dominates; use M2 where loop volume dominates.
MiniMax-M2 vs Claude at a glance
| MiniMax-M2 | Claude | |
|---|---|---|
| Vendor | MiniMax (China) | Anthropic (United States) |
| Open weights | Yes — downloadable | No |
| License | MIT — weights free to download, self-host, fine-tune, and use commercially | Proprietary — API and subscription access only; no weights |
| Parameters | 230B (10B active) | Undisclosed |
| Context window | ~200K tokens | — |
| Modalities | text | text, image |
| Pricing | Varies by hosting provider (open weights) | Subscription (Pro/Max/Team/Enterprise) plus per-token API pricing at premium rates; the Claude 5 family leads Anthropic's lineup as of mid-2026. |
| Released | 2025-10-27 | — |
Specs and pricing verified July 2026.
About MiniMax-M2
MiniMax-M2 is the tool-use specialist of the open-weight field: 230B total parameters with just 10B active, MIT-licensed, and tuned specifically for agentic loops — 69.4% SWE-bench Verified, 46.3 Terminal-Bench, 83 LiveCodeBench. Mid-2026 roundups still rank it the best open model for tool-driven agents.
The 10B active footprint is the strategic choice: agent workloads burn tokens on long multi-step loops, and M2 delivers near-frontier agentic quality at interactive speed and low serving cost. For teams building autonomous agents rather than chat products, M2 is frequently the efficiency-optimal pick.
Full specs, benchmarks, and hardware guidance: the MiniMax-M2 page.
About Claude
Claude is Anthropic's proprietary model family — as of mid-2026 headlined by the Claude 5 generation — with a particularly strong reputation in coding and agentic work (Claude Code) and long-document reasoning.
Like ChatGPT, it is closed-weight: no downloads, no self-hosting, no fine-tuning on your own infrastructure. Open-weight coding models (GLM-5.2, Kimi K2.5/K2.6, DeepSeek V4) now market themselves explicitly as Claude-for-coding alternatives at a fraction of the per-token price.
Choosing between them
Choose MiniMax-M2 for:
- Tool-calling agents and terminal/computer-use workloads
- High-throughput agent loops where per-token cost compounds
- Self-hosting on a modest multi-GPU node (MIT license)
Frequently asked questions
Is MiniMax-M2 better than Claude?
These solve different problems. Claude is the premium generalist; MiniMax-M2 is a lean tool-use specialist — 10B active parameters tuned for agent loops, MIT-licensed, and radically cheaper to run per step. Agents that execute hundreds of tool calls per task feel M2's economics immediately. Use Claude where judgment quality dominates; use M2 where loop volume dominates.
Which is cheaper: MiniMax-M2 or Claude?
MiniMax-M2: Varies by hosting provider (open weights). Claude: Subscription (Pro/Max/Team/Enterprise) plus per-token API pricing at premium rates; the Claude 5 family leads Anthropic's lineup as of mid-2026.. As an open-weight model, MiniMax-M2 can also be self-hosted, which caps cost at your own hardware.
Can I self-host MiniMax-M2 and Claude?
MiniMax-M2: yes — weights are published under MIT. Claude: no — it is a proprietary service with no downloadable weights.