Model comparison
Claude Haiku 4.5 vs LFM2.5-8B-A1B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); LFM2.5-8B-A1B #166 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and LFM2.5-8B-A1B share 0 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Claude Haiku 4.5; 17 to LFM2.5-8B-A1B.
Updated July 21, 2026- Shared results
- 0
- Claude Haiku 4.5 only
- 5
- LFM2.5-8B-A1B only
- 17
- Comparable categories
- 1 / 8
Pick Claude Haiku 4.5 if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Haiku 4.5 is clearly ahead on the BenchAlign aggregate, 56.58 to 41.42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. That is roughly Infinityx on output cost alone. LFM2.5-8B-A1B is the reasoning model in the pair, while Claude Haiku 4.5 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. Claude Haiku 4.5 gives you the larger context window at 200K, compared with 128K for LFM2.5-8B-A1B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | LFM2.5-8B-A1B$0 input / $0 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | LFM2.5-8B-A1B128K | Claude Haiku 4.5 lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Haiku 4.5 | LFM2.5-8B-A1B | 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% | Not comparable |
MathLFM2.5-8B-A1B wins5 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Haiku 4.5 or LFM2.5-8B-A1B?
Claude Haiku 4.5 is ahead on BenchLM's BenchAlign leaderboard, 56.58 to 41.42.
Which is better for math, Claude Haiku 4.5 or LFM2.5-8B-A1B?
LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 4.9. Claude Haiku 4.5 stays close enough that the answer can still flip depending on your workload.
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