MiniMax M3 vs MiniMax M2.7: Pricing, Performance, and API Changes
Short answer: MiniMax M3 is the model to test when MiniMax M2.7 starts to feel cramped: long codebases, long documents, multimodal inputs, or agent workflows that need more room than a text-only model gives you. MiniMax M2.7 still has a place if your current prompts are short, text-only, already stable, and cost-sensitive. The real decision is not whether M3 is “newer.” It is whether M3’s 1,000,000-token context, text/image/video input support, and long-context pricing tiers are useful enough to justify migration testing.
FAQ
What is the main difference between MiniMax M3 and MiniMax M2.7?
MiniMax M3 has a 1,000,000-token context window and supports text, image, and video input with text output on Novita AI. MiniMax M2.7 has a 204,800-token context window and text input/output. That makes M3 the stronger candidate for long-context and multimodal-input work.
Is MiniMax M3 available on Novita AI?
Yes. The MiniMax M3 model page lists MiniMax M3 as available through the serverless API with model ID minimax/minimax-m3.
Is MiniMax M3 more expensive than MiniMax M2.7?
For requests under 524,288 tokens, MiniMax M3’s listed input, output, and cached-read prices match the visible M2.7 prices: $0.3/M input tokens, $1.2/M output tokens, and $0.06/M cached-read tokens. M3 becomes more expensive in its 524,288 to under 1,000,000-token tier, where we list $1.2/M input, $4.8/M output, and $0.24/M cached reads.
Should I upgrade from MiniMax M2.7 to MiniMax M3?
Upgrade the workloads that benefit from M3’s larger context or multimodal input support. Keep M2.7 for stable, short, text-only workloads until M3 proves better on your own prompts.
Can MiniMax M3 handle image or video output?
No. We list M3 input as text, image, and video, and output as text.
Do benchmarks prove MiniMax M3 is better than MiniMax M2.7?
No. MiniMax reports strong M3 benchmark results, but the current sources do not include a Novita-run head-to-head benchmark for MiniMax M3 versus MiniMax M2.7. Use benchmarks to decide whether to test M3, not to skip your own evaluation.
