Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek Coder 2.0 is clearly ahead on the aggregate, 73 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek Coder 2.0 is also the more expensive model on tokens at $0.27 input / $1.10 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DBRX Instruct. That is roughly Infinityx on output cost alone. DeepSeek Coder 2.0 gives you the larger context window at 128K, compared with 32K for DBRX Instruct.
Pick DeepSeek Coder 2.0 if you want the stronger benchmark profile. DBRX Instruct only becomes the better choice if coding is the priority or you want the cheaper token bill.
DeepSeek Coder 2.0
66.3
DBRX Instruct
73.7
DeepSeek Coder 2.0
59.3
DBRX Instruct
70.1
DeepSeek Coder 2.0 is ahead overall, 73 to 32. The biggest single separator in this matchup is HumanEval, where the scores are 82 and 70.1.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 73.7 versus 66.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DBRX Instruct has the edge for coding in this comparison, averaging 70.1 versus 59.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
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