Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.3 Instant is clearly ahead on the aggregate, 87 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Instant's sharpest advantage is in coding, where it averages 78.7 against 25.8. The single biggest benchmark swing on the page is SWE-bench Pro, 83 to 28.
GPT-5.3 Instant is the reasoning model in the pair, while Mistral 8x7B 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 Instant gives you the larger context window at 128K, compared with 32K for Mistral 8x7B.
Pick GPT-5.3 Instant if you want the stronger benchmark profile. Mistral 8x7B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
GPT-5.3 Instant
82.9
Mistral 8x7B
41.1
GPT-5.3 Instant
78.7
Mistral 8x7B
25.8
GPT-5.3 Instant
95
Mistral 8x7B
48.3
GPT-5.3 Instant
94.2
Mistral 8x7B
60.3
GPT-5.3 Instant
80.8
Mistral 8x7B
48.4
GPT-5.3 Instant
96
Mistral 8x7B
78
GPT-5.3 Instant
93.4
Mistral 8x7B
72.1
GPT-5.3 Instant
97.2
Mistral 8x7B
68.1
GPT-5.3 Instant is ahead overall, 87 to 48. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 83 and 28.
GPT-5.3 Instant has the edge for knowledge tasks in this comparison, averaging 80.8 versus 48.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for coding in this comparison, averaging 78.7 versus 25.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for math in this comparison, averaging 97.2 versus 68.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for reasoning in this comparison, averaging 94.2 versus 60.3. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for agentic tasks in this comparison, averaging 82.9 versus 41.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 48.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for instruction following in this comparison, averaging 96 versus 78. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.3 Instant has the edge for multilingual tasks in this comparison, averaging 93.4 versus 72.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.