AI Model Comparison

MiniMax-M2.1

MiniMax-M2.1 — MiniMax multimodal model with an Intelligence Index of 33, a 262K-token context window and a blended price of $0.36/1M tokens (open weights).

Key specifications

Intelligence Index33
Coding Index
Agentic Index
Arena Elo
Context window (K tokens)262
Blended price ($/1M tokens)0.4
Output speed (tokens/s)79

About MiniMax-M2.1

The MiniMax-M2.1 is a multimodal model from MiniMax with an Intelligence Index of 33.0 and a 262K-token context window. It runs at a blended price of $0.36 per million tokens and generates about 79 tokens/s. It is open weights, so it can also be self-hosted. Leaderboard indices are a strong signal but only part of real-world quality, which also depends on tool use, latency and task fit.

The comparisons below show how MiniMax-M2.1 stacks up against the alternatives people most often weigh against it, with the specific numbers laid out side by side.

Frequently asked questions

Is the MiniMax-M2.1 any good?

MiniMax-M2.1 — MiniMax multimodal model with an Intelligence Index of 33, a 262K-token context window and a blended price of $0.36/1M tokens (open weights).

What are the key specs of the MiniMax-M2.1?

See the specification table above for the full breakdown.

ER
EquivalentTo Research
Data & Benchmarks Team

We compile published benchmark results (Cinebench 2024, Geekbench 6, AnTuTu v10, 3DMark), manufacturer specifications and market pricing from nine regions into normalized, comparable datasets. Every figure traces to a named public source listed on each page.

Benchmark leaderboard compilationMulti-market pricing normalizationUnit & currency conversion
✓ Reviewed by EquivalentTo Editorial Review, Data Quality & Methodology.
Last updated 2026-07-01

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