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MiniMax M2 HER vs GPT 5.6 Luna

At a glance

MiniMax M2 variant optimized for helpful, engaging responses.

66K ctx$0.30/$1.20 per M

OpenAI's fastest, most affordable GPT-5.6 tier for high-volume, latency-sensitive work.

1.1M ctx$1.00/$6.00 per M
Agent Demos
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No shared agent demos for these models yet.

AI Output
All AI outputs

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Benchmarks
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Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-11
Reasoning & Knowledge
Graduate Science92.3%
Agentic
Terminal Tasks84.7%
Specs
66K
Context
2K
Max output
Jan 2026
Released
1.1M
Context
128K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input70%$0.30/M tokens
Output80%$1.20/M tokens
Cache read70%$0.03/M tokens
Live pricing, shown before you run
Input$1.00/M tokens
Output$6.00/M tokens
Cache read$0.10/M tokens
Cache write$1.25/M tokens
Web search$0.01/search
Chat with MiniMax M2 HERGo to model
Chat with GPT 5.6 LunaGo to model
Frequently Asked Questions: MiniMax M2 HER vs GPT 5.6 Luna▼

Which is better, MiniMax M2 HER or GPT 5.6 Luna?

▼

Both MiniMax M2 HER and GPT 5.6 Luna 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 HER or GPT 5.6 Luna?

▼

MiniMax M2 HER has a lower blended cost. MiniMax M2 HER: $0.30 input / $1.20 output. GPT 5.6 Luna: $1.00 input / $6.00 output.

Which has a larger context window, MiniMax M2 HER or GPT 5.6 Luna?

▼

GPT 5.6 Luna has a larger context window: MiniMax M2 HER supports 66K tokens vs GPT 5.6 Luna at 1.1M tokens.

Do both MiniMax M2 HER and GPT 5.6 Luna support vision?

▼

GPT 5.6 Luna supports vision/image input, but MiniMax M2 HER does not.

What are the key differences between MiniMax M2 HER and GPT 5.6 Luna?

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Key differences: MiniMax M2 HER is significantly cheaper; only GPT 5.6 Luna supports vision input; only GPT 5.6 Luna offers extended reasoning mode. 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 HER and GPT 5.6 Luna for free on idapt.app to see which performs better for your specific needs.

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