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 44. 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 21.8. The single biggest benchmark swing on the page is LiveCodeBench, 80 to 15.
GPT-5.3-Codex-Spark gives you the larger context window at 256K, compared with 200K for Claude 4.1 Opus Thinking.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. Claude 4.1 Opus Thinking only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.3-Codex-Spark
85.6
Claude 4.1 Opus Thinking
46.7
GPT-5.3-Codex-Spark
82.3
Claude 4.1 Opus Thinking
21.8
GPT-5.3-Codex-Spark
88.3
Claude 4.1 Opus Thinking
59.3
GPT-5.3-Codex-Spark
92.7
Claude 4.1 Opus Thinking
49.4
GPT-5.3-Codex-Spark
78.3
Claude 4.1 Opus Thinking
34.3
GPT-5.3-Codex-Spark
92
Claude 4.1 Opus Thinking
66
GPT-5.3-Codex-Spark
90.8
Claude 4.1 Opus Thinking
58.7
GPT-5.3-Codex-Spark
96.7
Claude 4.1 Opus Thinking
48.3
GPT-5.3-Codex-Spark is ahead overall, 87 to 44. The biggest single separator in this matchup is LiveCodeBench, where the scores are 80 and 15.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 34.3. Inside this category, MMLU 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 21.8. Inside this category, LiveCodeBench 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 48.3. 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 49.4. Inside this category, SimpleQA 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 46.7. 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 59.3. 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 66. 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 58.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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