Last refreshed 2026-06-15. Next refresh: weekly.
Why use MiniMax M2.7 on OpenRouter?
OpenRouter offers MiniMax M2.7 with pay-as-you-go pricing at $0.28/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.
Compare MiniMax M2.7 across 4 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: minimax/minimax-m2.7minimax/minimax-m2.7Request example
minimax/minimax-m2.7.Gotchas
- Use provider model ID "minimax/minimax-m2.7", not the LLMReference slug "minimax-m2.7".
Compare MiniMax M2.7 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.28 | $1.20 |
| Fireworks AI | $0.30 | $1.20 |
| Vercel AI Gateway | $0.30 | $1.20 |
| Novita AI | $0.30 | $1.20 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.28 |
| Output tokens | $1.20 |
Capabilities
About MiniMax M2.7
MiniMax M2.7 is MiniMax's self-improving frontier model, released March 18, 2026. It introduces native multi-agent collaboration, complex skill orchestration, and early recursive self-improvement capabilities. The model uses 10B active parameters, supports a 204,800-token context window, and was released alongside MiniMax-M2.7-highspeed, a 66% faster latency-optimized variant. Public provider listings price standard M2.7 at $0.30 per 1M input tokens and $1.20 per 1M output tokens. MiniMax M3 supersedes it for million-token, multimodal, and computer-use workflows, while M2.7 remains the lower-cost text-only route when 200K context is enough.