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 37. 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 reasoning, where it averages 92.7 against 36.4. The single biggest benchmark swing on the page is OfficeQA Pro, 91 to 35.
GPT-5.3-Codex-Spark is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DBRX Instruct. That is roughly Infinityx on output cost alone. GPT-5.3-Codex-Spark is the reasoning model in the pair, while DBRX Instruct is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.3-Codex-Spark gives you the larger context window at 256K, compared with 32K for DBRX Instruct.
Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.3-Codex-Spark
85.6
DBRX Instruct
34.3
GPT-5.3-Codex-Spark
82.3
DBRX Instruct
48
GPT-5.3-Codex-Spark
88.3
DBRX Instruct
35.6
GPT-5.3-Codex-Spark
92.7
DBRX Instruct
36.4
GPT-5.3-Codex-Spark
78.3
DBRX Instruct
52
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.3-Codex-Spark
90.8
DBRX Instruct
46
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.3-Codex-Spark is ahead overall, 87 to 37. The biggest single separator in this matchup is OfficeQA Pro, where the scores are 91 and 35.
GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 52. Inside this category, FrontierScience 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 48. Inside this category, SWE-bench Pro 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 36.4. Inside this category, LongBench v2 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 34.3. Inside this category, OSWorld-Verified 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 35.6. Inside this category, OfficeQA Pro 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 46. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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