Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GLM-4.7
71
MiniMax M2.5
--
Benchmark data for GLM-4.7 and MiniMax M2.5 is coming soon on BenchLM.
GLM-4.7
MiniMax M2.5
$0 / $0
$0.3 / $1.2
82 t/s
46 t/s
1.10s
2.12s
200K
128K
Benchmark data for GLM-4.7 and MiniMax M2.5 is coming soon on BenchLM.
BenchLM does not have sourced benchmark coverage for MiniMax M2.5 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
MiniMax M2.5 is priced at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. GLM-4.7 has the larger context window at 200K, compared with 128K for MiniMax M2.5.
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
GLM-4.7: $0.00 input / $0.00 output per 1M tokens MiniMax M2.5: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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