Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
LFM2-24B-A2B finishes one point ahead overall, 38 to 37. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
LFM2-24B-A2B's sharpest advantage is in multilingual, where it averages 61.4 against 46. The single biggest benchmark swing on the page is SWE-bench Pro, 19 to 48. DBRX Instruct does hit back in coding, so the answer changes if that is the part of the workload you care about most.
LFM2-24B-A2B is also the more expensive model on tokens at $0.03 input / $0.12 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.
Pick LFM2-24B-A2B 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.
LFM2-24B-A2B
33.4
DBRX Instruct
34.3
LFM2-24B-A2B
18
DBRX Instruct
48
LFM2-24B-A2B
41.7
DBRX Instruct
35.6
LFM2-24B-A2B
46.6
DBRX Instruct
36.4
LFM2-24B-A2B
35.6
DBRX Instruct
52
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
LFM2-24B-A2B
61.4
DBRX Instruct
46
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
LFM2-24B-A2B is ahead overall, 38 to 37. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 19 and 48.
DBRX Instruct has the edge for knowledge tasks in this comparison, averaging 52 versus 35.6. 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 48 versus 18. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for reasoning in this comparison, averaging 46.6 versus 36.4. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
DBRX Instruct has the edge for agentic tasks in this comparison, averaging 34.3 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multimodal and grounded tasks in this comparison, averaging 41.7 versus 35.6. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
LFM2-24B-A2B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 46. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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