Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Grok 4.20
65
Qwen3.5-122B-A10B
65
Verified leaderboard positions: Grok 4.20 unranked · Qwen3.5-122B-A10B #8
Treat this as a split decision. Grok 4.20 makes more sense if you need the larger 2M context window; Qwen3.5-122B-A10B is the better fit if coding is the priority or you want the cheaper token bill.
Agentic
+9.0 difference
Coding
+11.0 difference
Reasoning
+6.9 difference
Multimodal
+6.4 difference
Grok 4.20
Qwen3.5-122B-A10B
$2 / $6
$0 / $0
233 t/s
N/A
10.33s
N/A
2M
262K
Treat this as a split decision. Grok 4.20 makes more sense if you need the larger 2M context window; Qwen3.5-122B-A10B is the better fit if coding is the priority or you want the cheaper token bill.
Grok 4.20 and Qwen3.5-122B-A10B finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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 Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Grok 4.20 gives you the larger context window at 2M, compared with 262K for Qwen3.5-122B-A10B.
Grok 4.20 and Qwen3.5-122B-A10B are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 61. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for reasoning in this comparison, averaging 60.2 versus 53.3. Grok 4.20 stays close enough that the answer can still flip depending on your workload.
Qwen3.5-122B-A10B has the edge for agentic tasks in this comparison, averaging 56.1 versus 47.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 70.8. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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