Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mixtral 8x22B Instruct v0.1 is clearly ahead on the aggregate, 35 to 30. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mixtral 8x22B Instruct v0.1's sharpest advantage is in coding, where it averages 40 against 7.2. The single biggest benchmark swing on the page is MMLU, 71.4 to 26. LFM2.5-1.2B-Instruct does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
Mixtral 8x22B Instruct v0.1 gives you the larger context window at 64K, compared with 32K for LFM2.5-1.2B-Instruct.
Pick Mixtral 8x22B Instruct v0.1 if you want the stronger benchmark profile. LFM2.5-1.2B-Instruct only becomes the better choice if multilingual is the priority.
Mixtral 8x22B Instruct v0.1
31.8
LFM2.5-1.2B-Instruct
25.7
Mixtral 8x22B Instruct v0.1
40
LFM2.5-1.2B-Instruct
7.2
Mixtral 8x22B Instruct v0.1
35.5
LFM2.5-1.2B-Instruct
32.4
Mixtral 8x22B Instruct v0.1
38.6
LFM2.5-1.2B-Instruct
32.1
Mixtral 8x22B Instruct v0.1
53
LFM2.5-1.2B-Instruct
26
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mixtral 8x22B Instruct v0.1
42
LFM2.5-1.2B-Instruct
60.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mixtral 8x22B Instruct v0.1 is ahead overall, 35 to 30. The biggest single separator in this matchup is MMLU, where the scores are 71.4 and 26.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 26. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for coding in this comparison, averaging 40 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for reasoning in this comparison, averaging 38.6 versus 32.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for agentic tasks in this comparison, averaging 31.8 versus 25.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for multimodal and grounded tasks in this comparison, averaging 35.5 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Instruct has the edge for multilingual tasks in this comparison, averaging 60.7 versus 42. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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