Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Grok 3 [Beta]
46
Winner · 1/8 categoriesLFM2.5-350M
~39
1/8 categoriesGrok 3 [Beta]· LFM2.5-350M
Pick Grok 3 [Beta] if you want the stronger benchmark profile. LFM2.5-350M only becomes the better choice if instruction following is the priority.
Grok 3 [Beta] is clearly ahead on the aggregate, 46 to 39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Grok 3 [Beta]'s sharpest advantage is in knowledge, where it averages 44.9 against 23.8. The single biggest benchmark swing on the page is MMLU-Pro, 79.9% to 20.0%. LFM2.5-350M does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Grok 3 [Beta] gives you the larger context window at 128K, compared with 32K for LFM2.5-350M.
BenchLM keeps the benchmark table and the operator tradeoffs on the same page so a better score does not hide a materially slower, pricier, or smaller-context model.
Runtime metrics show N/A when BenchLM does not have a sourced snapshot for that exact model. The scoring rules and freshness policy are documented on the methodology page.
| Benchmark | Grok 3 [Beta] | LFM2.5-350M |
|---|---|---|
| Agentic | ||
| Terminal-Bench 2.0 | 32% | — |
| BrowseComp | 41% | — |
| OSWorld-Verified | 36% | — |
| Coding | ||
| HumanEval | 34% | — |
| SWE-bench Verified | 19% | — |
| LiveCodeBench | 57% | — |
| SWE-bench Pro | 21% | — |
| Multimodal & Grounded | ||
| MMMU-Pro | 40% | — |
| OfficeQA Pro | 47% | — |
| Reasoning | ||
| MuSR | 38% | — |
| BBH | 62% | — |
| LongBench v2 | 53% | — |
| MRCRv2 | 52% | — |
| KnowledgeGrok 3 [Beta] wins | ||
| MMLU | 42% | — |
| GPQA | 75.4% | 30.6% |
| SuperGPQA | 39% | — |
| MMLU-Pro | 79.9% | 20.0% |
| HLE | 3% | — |
| FrontierScience | 40% | — |
| SimpleQA | 43.6% | — |
| Instruction FollowingLFM2.5-350M wins | ||
| IFEval | 67% | 77.0% |
| Multilingual | ||
| MGSM | 60% | — |
| MMLU-ProX | 58% | — |
| Mathematics | ||
| AIME 2023 | 42% | — |
| AIME 2024 | 52.2% | — |
| AIME 2025 | 43% | — |
| HMMT Feb 2023 | 38% | — |
| HMMT Feb 2024 | 40% | — |
| HMMT Feb 2025 | 39% | — |
| BRUMO 2025 | 41% | — |
| MATH-500 | 59% | — |
Grok 3 [Beta] is ahead overall, 46 to 39. The biggest single separator in this matchup is MMLU-Pro, where the scores are 79.9% and 20.0%.
Grok 3 [Beta] has the edge for knowledge tasks in this comparison, averaging 44.9 versus 23.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
LFM2.5-350M has the edge for instruction following in this comparison, averaging 77 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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