If you only looked at the intelligence index, GPT-6 Luna (Max) and MiniMax-M3.1-Flash would be hard to tell apart. What separates them most is responsiveness; GPT-6 Luna Max takes 2.0 minutes to produce its first token, MiniMax-M3.1-Flash 1.0 seconds. The figures come from tracked catalogue data, not from our own testing, so treat them as a starting point for a trial on your tasks.
Speed and latency
GPT-6 Luna Max generates about 121 tokens per second and MiniMax-M3.1-Flash about 147 tokens per second. On long outputs, that is a real advantage for MiniMax-M3.1-Flash. Time to first token is 2.0 minutes for GPT-6 Luna Max and 1.0 seconds for MiniMax-M3.1-Flash. In an interactive app, MiniMax-M3.1-Flash will feel noticeably more responsive. Waits that long are felt on every chat-style request, though they matter less for batch jobs.
Add the two numbers up for a 400-token reply and MiniMax-M3.1-Flash finishes first: 2.1 minutes for GPT-6 Luna Max, 3.7 seconds for MiniMax-M3.1-Flash.
Generation gap
MiniMax-M3.1-Flash arrived on October 19, 2026, 27 days after GPT-6 Luna Max (September 22, 2026). That is close enough to count them as the same generation.
What they cost
GPT-6 Luna Max lists $0.10 per million input tokens and $0.50 per million output tokens; MiniMax-M3.1-Flash lists $0.15 and $0.60. That makes GPT-6 Luna Max's output 17% cheaper.
A reference job of 1 million input tokens and 200,000 output tokens costs $0.20 with GPT-6 Luna Max and $0.27 with MiniMax-M3.1-Flash, so GPT-6 Luna Max saves $0.070. A bigger example, a month of coding-assistant traffic at 30 million input and 3 million output tokens, costs $4.50 on GPT-6 Luna Max and $6.30 on MiniMax-M3.1-Flash: a gap of $1.80. Blended at three input tokens per output token, the effective rates are $0.20 for GPT-6 Luna Max and $0.262 for MiniMax-M3.1-Flash.
Reasoning and overall scores
The catalogue puts GPT-6 Luna Max at 27.9 and MiniMax-M3.1-Flash at 29.1 on its intelligence index. The lead is visible but narrow, so it should not decide the choice on its own. Put another way, GPT-6 Luna Max would need 4% more on this index to draw level.
Among 109 active scored models, GPT-6 Luna Max sits 62nd and MiniMax-M3.1-Flash 59th.
There are no coding or math index scores for either model in the catalogue, which keeps this comparison at the aggregate level.
Cost per point of intelligence
Dividing the blended price by the intelligence index gives a rough cost per point: $0.0072 for GPT-6 Luna Max and $0.0090 for MiniMax-M3.1-Flash, per million tokens. MiniMax-M3.1-Flash costs 1.3 times as much per point, which is the price of its lead.

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