Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Grok 4.20
77
Qwen3.6-27B
72
Verified leaderboard positions: Grok 4.20 unranked · Qwen3.6-27B #10
Pick Grok 4.20 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Agentic
+12.2 difference
Coding
+9.6 difference
Multimodal
+0.6 difference
Grok 4.20
Qwen3.6-27B
$2 / $6
$0 / $0
233 t/s
N/A
10.33s
N/A
2M
262K
Pick Grok 4.20 if you want the stronger benchmark profile. Qwen3.6-27B only becomes the better choice if agentic is the priority or you want the cheaper token bill.
Grok 4.20 is clearly ahead on the provisional aggregate, 77 to 72. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 4.20 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. That is roughly Infinityx on output cost alone. Grok 4.20 gives you the larger context window at 2M, compared with 262K for Qwen3.6-27B.
Grok 4.20 is ahead on BenchLM's provisional leaderboard, 77 to 72. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 47.1% and 59.3%.
Qwen3.6-27B has the edge for coding in this comparison, averaging 70.6 versus 61. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for agentic tasks in this comparison, averaging 59.3 versus 47.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.6-27B has the edge for multimodal and grounded tasks in this comparison, averaging 75.8 versus 75.2. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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