Model comparison
LFM2-24B-A2B vs o3-pro
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. LFM2-24B-A2B and o3-pro share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to LFM2-24B-A2B; 2 to o3-pro.
Updated July 14, 2026- Shared results
- 0
- LFM2-24B-A2B only
- 0
- o3-pro only
- 2
- Comparable categories
- 0 / 8
Benchmark data for LFM2-24B-A2B and o3-pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for LFM2-24B-A2B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
o3-pro is priced at $20.00 input / $80.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2-24B-A2B. o3-pro has the larger context window at 200K, compared with 32K for LFM2-24B-A2B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2-24B-A2B | o3-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2-24B-A2B$0 input / $0 output | o3-pro$20 input / $80 output | LFM2-24B-A2B has the lower combined listed price. |
| Generation speedtokens per second | LFM2-24B-A2B92 tok/s | o3-pro27 tok/s | LFM2-24B-A2B has the higher measured throughput. |
| First-answer latencyseconds to first token | LFM2-24B-A2B0.42 s | o3-pro84.93 s | LFM2-24B-A2B reaches the first token sooner. |
| Context windowmaximum listed tokens | LFM2-24B-A2B32K | o3-pro200K | o3-pro lists the larger context window. |
Benchmark Deep Dive
Frequently Asked Questions (3)
Can I compare LFM2-24B-A2B and o3-pro on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for LFM2-24B-A2B and o3-pro today?
LFM2-24B-A2B: $0.00 input / $0.00 output per 1M tokens o3-pro: $20.00 input / $80.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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