Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3-Codex-Spark is clearly ahead on the aggregate, 87 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3-Codex-Spark's sharpest advantage is in coding, where it averages 82.3 against 50. The single biggest benchmark swing on the page is SWE-bench Verified, 80 to 45.
GPT-5.3-Codex-Spark gives you the larger context window at 256K, compared with 128K for MiMo-V2-Flash.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.3-Codex-Spark
85.6
MiMo-V2-Flash
61.8
GPT-5.3-Codex-Spark
82.3
MiMo-V2-Flash
50
GPT-5.3-Codex-Spark
88.3
MiMo-V2-Flash
75.8
GPT-5.3-Codex-Spark
92.7
MiMo-V2-Flash
75.3
GPT-5.3-Codex-Spark
78.3
MiMo-V2-Flash
58.8
GPT-5.3-Codex-Spark
92
MiMo-V2-Flash
84
GPT-5.3-Codex-Spark
90.8
MiMo-V2-Flash
79.1
GPT-5.3-Codex-Spark
96.7
MiMo-V2-Flash
83.4
GPT-5.3-Codex-Spark is ahead overall, 87 to 66. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80 and 45.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 58.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for coding in this comparison, averaging 82.3 versus 50. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for math in this comparison, averaging 96.7 versus 83.4. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for reasoning in this comparison, averaging 92.7 versus 75.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for agentic tasks in this comparison, averaging 85.6 versus 61.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for multimodal and grounded tasks in this comparison, averaging 88.3 versus 75.8. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for instruction following in this comparison, averaging 92 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.3-Codex-Spark has the edge for multilingual tasks in this comparison, averaging 90.8 versus 79.1. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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