Skip to main content
idapt
HomeCodeAI ModelsPricing
Sign inStart free
  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Voice Mode
  • Voice HUD
  • Web Search
  • Image Generation
  • Video Generation
  • Audio Generation
  • Transcription
  • Drive
  • Credentials
  • Sharing
  • Workspaces
  • Tasks
  • Memory
  • Agents
  • Subagents
  • Automations
  • Skills
  • idapt Code
  • Code Execution
  • Computers
  • Computer Use
  • Computer Assist · Soon
  • Containers · Soon
  • Cloud Computers
  • Local AI
  • AI Gateway
  • API & SDK
  • CLI
  • MCP
  • Tunnels
  • All features →
  • LLM cost calculator
  • Token counter
  • Context window checker
  • Can I run it
  • Model picker quiz
  • Savings finder
  • Video cost estimator
  • Text to speech cost
  • Transcription cost
  • API endpoint tester
  • All free tools →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Skills
  • Learn
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • idapt Code
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)

MiniMax M2 vs Qwen3.7 Plus

At a glance

MiniMax's flagship MoE model with 1T parameters.

205K ctx$0.30/$1.20 per M

Alibaba's cost-efficient Qwen3.7 model for long-context multimodal work.

1M ctx$0.32/$1.28 per M
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-07-10
Agentic
Terminal Tasks30.0%
No benchmarks available

This model hasn't been benchmarked yet.

Specs
205K
Context
131K
Max output
Oct 2025
Released
1M
Context
66K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input6%$0.30/M tokens
Output6%$1.20/M tokens
Cache read53%$0.03/M tokens
Live pricing, shown before you run
Input$0.32/M tokens
Output$1.28/M tokens
Cache read$0.06/M tokens
Cache write$0.40/M tokens
Chat with MiniMax M2Go to model
Chat with Qwen3.7 PlusGo to model
Frequently Asked Questions: MiniMax M2 vs Qwen3.7 Plus▼

Which is better, MiniMax M2 or Qwen3.7 Plus?

▼

Both MiniMax M2 and Qwen3.7 Plus are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, MiniMax M2 or Qwen3.7 Plus?

▼

MiniMax M2 has a lower blended cost. MiniMax M2: $0.30 input / $1.20 output. Qwen3.7 Plus: $0.32 input / $1.28 output.

Which has a larger context window, MiniMax M2 or Qwen3.7 Plus?

▼

Qwen3.7 Plus has a larger context window: MiniMax M2 supports 205K tokens vs Qwen3.7 Plus at 1M tokens.

Do both MiniMax M2 and Qwen3.7 Plus support vision?

▼

Qwen3.7 Plus supports vision/image input, but MiniMax M2 does not.

What are the key differences between MiniMax M2 and Qwen3.7 Plus?

▼

Key differences: only Qwen3.7 Plus supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both MiniMax M2 and Qwen3.7 Plus for free on idapt.app to see which performs better for your specific needs.

Open in App