Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
GPT-5.3 Codex
89
MiMo-V2-Flash
62
Pick GPT-5.3 Codex if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if coding is the priority or you want the cheaper token bill.
Coding
+10.3 difference
GPT-5.3 Codex
MiMo-V2-Flash
$2.5 / $10
$0 / $0
79 t/s
129 t/s
88.26s
2.14s
400K
256K
Pick GPT-5.3 Codex if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.3 Codex is clearly ahead on the provisional aggregate, 89 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Codex is also the more expensive model on tokens at $2.50 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. GPT-5.3 Codex gives you the larger context window at 400K, compared with 256K for MiMo-V2-Flash.
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 89 to 62. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 85% and 73.4%.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 63.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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