Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
BenchLM does not have sourced benchmark coverage for Grok 4.20 Multi-agent Beta yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Grok 4.20 Multi-agent Beta is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5 Coder 32B Instruct. Grok 4.20 Multi-agent Beta has the larger context window at 2M, compared with 128K for Qwen2.5 Coder 32B Instruct.
Benchmark data for Grok 4.20 Multi-agent Beta and Qwen2.5 Coder 32B Instruct is coming soon on BenchLM.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
Grok 4.20 Multi-agent Beta: $2.00 input / $6.00 output per 1M tokens Qwen2.5 Coder 32B Instruct: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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