Model comparison
LFM2.5-8B-A1B vs o1-pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: LFM2.5-8B-A1B estimated; o1-pro estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-8B-A1B and o1-pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 17 results are unique to LFM2.5-8B-A1B; 1 to o1-pro.
Updated July 16, 2026- Shared results
- 1
- LFM2.5-8B-A1B only
- 17
- o1-pro only
- 1
- Comparable categories
- 0 / 8
Benchmark data for LFM2.5-8B-A1B and o1-pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
o1-pro is priced at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. o1-pro has the larger context window at 200K, compared with 128K for LFM2.5-8B-A1B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | LFM2.5-8B-A1B | Δ | o1-pro |
|---|---|---|---|
| Knowledge | LFM2.5-8B-A1BNot measured | MarginNo overlap | o1-pro79.0 |
| Math | LFM2.5-8B-A1B50.0 | MarginNo overlap | o1-proNot measured |
| Inst. Following | LFM2.5-8B-A1B68.8 | MarginNo overlap | o1-proNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | LFM2.5-8B-A1B | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-8B-A1B$0 input / $0 output | o1-pro$150 input / $600 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | LFM2.5-8B-A1BNot available | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-8B-A1BNot available | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-8B-A1B128K | o1-pro200K | o1-pro lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | LFM2.5-8B-A1B | o1-pro | Result |
|---|---|---|---|
| AA-GPQA DiamondSource | 51.3% | — | Not comparable |
| AA-HLESource | 6.9% | — | Not comparable |
| AA-Omniscience IndexSource | -33.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 9.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 47.0% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 8.3% | 18.9% | o1-pro leads |
| GPQASource | — | 79% | Not comparable |
Math3 benchmarks
Frequently Asked Questions (3)
Can I compare LFM2.5-8B-A1B and o1-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 LFM2.5-8B-A1B and o1-pro today?
LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens o1-pro: $150.00 input / $600.00 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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