Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mixtral 8x22B Instruct v0.1 has the cleaner overall profile here, landing at 35 versus 33. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Mixtral 8x22B Instruct v0.1's sharpest advantage is in coding, where it averages 40 against 8.2. The single biggest benchmark swing on the page is MMLU, 71.4 to 27. LFM2.5-1.2B-Thinking does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
LFM2.5-1.2B-Thinking is the reasoning model in the pair, while Mixtral 8x22B Instruct v0.1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Mixtral 8x22B Instruct v0.1 gives you the larger context window at 64K, compared with 32K for LFM2.5-1.2B-Thinking.
Pick Mixtral 8x22B Instruct v0.1 if you want the stronger benchmark profile. LFM2.5-1.2B-Thinking only becomes the better choice if multilingual is the priority or you want the stronger reasoning-first profile.
Mixtral 8x22B Instruct v0.1
31.8
LFM2.5-1.2B-Thinking
34.1
Mixtral 8x22B Instruct v0.1
40
LFM2.5-1.2B-Thinking
8.2
Mixtral 8x22B Instruct v0.1
35.5
LFM2.5-1.2B-Thinking
32.4
Mixtral 8x22B Instruct v0.1
38.6
LFM2.5-1.2B-Thinking
38.4
Mixtral 8x22B Instruct v0.1
53
LFM2.5-1.2B-Thinking
27
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-Thinking
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 33. The biggest single separator in this matchup is MMLU, where the scores are 71.4 and 27.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 27. 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 8.2. 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 38.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
LFM2.5-1.2B-Thinking has the edge for agentic tasks in this comparison, averaging 34.1 versus 31.8. Inside this category, BrowseComp 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-Thinking 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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