Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Grok 4.3
79
Qwen3.6-35B-A3B
67
Verified leaderboard positions: Grok 4.3 unranked · Qwen3.6-35B-A3B #20
Pick Grok 4.3 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority.
Coding
+19.6 difference
Knowledge
+6.6 difference
Multimodal
+2.0 difference
Grok 4.3
Qwen3.6-35B-A3B
$1.25 / $2.5
N/A
209 t/s
N/A
12.36s
N/A
1M
262K
Pick Grok 4.3 if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if coding is the priority.
Grok 4.3 is clearly ahead on the provisional aggregate, 79 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4.3's sharpest advantage is in multimodal & grounded, where it averages 78.1 against 76.1. The single biggest benchmark swing on the page is HLE, 35% to 21.4%. Qwen3.6-35B-A3B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Grok 4.3 gives you the larger context window at 1M, compared with 262K for Qwen3.6-35B-A3B.
Grok 4.3 is ahead on BenchLM's provisional leaderboard, 79 to 67. The biggest single separator in this matchup is HLE, where the scores are 35% and 21.4%.
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 60.5 versus 53.9. Inside this category, HLE is the benchmark that creates the most daylight between them.
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 66.9 versus 47.3. Grok 4.3 stays close enough that the answer can still flip depending on your workload.
Grok 4.3 has the edge for multimodal and grounded tasks in this comparison, averaging 78.1 versus 76.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.