Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 2 is clearly ahead on the aggregate, 59 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Large 2's sharpest advantage is in coding, where it averages 41.8 against 18. The single biggest benchmark swing on the page is SWE-bench Verified, 49 to 18.
Mistral Large 2 gives you the larger context window at 128K, compared with 32K for LFM2-24B-A2B.
Pick Mistral Large 2 if you want the stronger benchmark profile. LFM2-24B-A2B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Mistral Large 2
52.2
LFM2-24B-A2B
33.4
Mistral Large 2
41.8
LFM2-24B-A2B
18
Mistral Large 2
61
LFM2-24B-A2B
41.7
Mistral Large 2
67.5
LFM2-24B-A2B
46.6
Mistral Large 2
54.6
LFM2-24B-A2B
35.6
Mistral Large 2
83
LFM2-24B-A2B
68
Mistral Large 2
79.1
LFM2-24B-A2B
61.4
Mistral Large 2
73.8
LFM2-24B-A2B
50.4
Mistral Large 2 is ahead overall, 59 to 38. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49 and 18.
Mistral Large 2 has the edge for knowledge tasks in this comparison, averaging 54.6 versus 35.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for coding in this comparison, averaging 41.8 versus 18. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for math in this comparison, averaging 73.8 versus 50.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for reasoning in this comparison, averaging 67.5 versus 46.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for agentic tasks in this comparison, averaging 52.2 versus 33.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for multimodal and grounded tasks in this comparison, averaging 61 versus 41.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for instruction following in this comparison, averaging 83 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for multilingual tasks in this comparison, averaging 79.1 versus 61.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.