Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
76
MiniMax M3
76
Verified leaderboard positions: Claude Opus 4.5 #13 · MiniMax M3 #12
Treat this as a split decision. Claude Opus 4.5 makes more sense if multimodal & grounded is the priority; MiniMax M3 is the better fit if agentic is the priority or you want the cheaper token bill.
Agentic
+9.4 difference
Coding
+1.1 difference
Multimodal
+5.1 difference
Claude Opus 4.5
MiniMax M3
$5 / $25
$0.3 / $1.2
46 t/s
N/A
1.01s
N/A
200K
1M
Treat this as a split decision. Claude Opus 4.5 makes more sense if multimodal & grounded is the priority; MiniMax M3 is the better fit if agentic is the priority or you want the cheaper token bill.
Claude Opus 4.5 and MiniMax M3 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Claude Opus 4.5 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M3. That is roughly 20.8x on output cost alone. MiniMax M3 gives you the larger context window at 1M, compared with 200K for Claude Opus 4.5.
Claude Opus 4.5 and MiniMax M3 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 65.9. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 62.5. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for multimodal and grounded tasks in this comparison, averaging 70 versus 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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