MiniMax M2.5
BenchLM is tracking MiniMax M2.5, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
MiniMax M2.5 is a proprietary model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 1 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how MiniMax M2.5 stacks up against similar models
Frequently Asked Questions
How does MiniMax M2.5 perform overall in AI benchmarks?
MiniMax M2.5 has 1 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is MiniMax M2.5 good for coding and programming?
MiniMax M2.5 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Does MiniMax M2.5 have full benchmark coverage on BenchLM?
Not yet. MiniMax M2.5 currently has 1 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of MiniMax M2.5?
MiniMax M2.5 has a context window of 128K, which determines how much text it can process in a single interaction.
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