Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M2.7 is clearly ahead on the aggregate, 57 to 51. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 4.2x on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 200K for MiniMax M2.7.
Pick MiniMax M2.7 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if coding is the priority or you need the larger 1M context window.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Gemini 2.5 Pro
63.8
MiniMax M2.7
56.2
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
MiniMax M2.7 is ahead overall, 57 to 51.
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 63.8 versus 56.2. MiniMax M2.7 stays close enough that the answer can still flip depending on your workload.
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