Model comparison
Claude 4.1 Opus Thinking vs LFM2.5-8B-A1B
Head-to-head evidence from 9 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Claude 4.1 Opus Thinking supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4.1 Opus Thinking and LFM2.5-8B-A1B share 9 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Claude 4.1 Opus Thinking; 9 to LFM2.5-8B-A1B.
Updated July 16, 2026- Shared results
- 9
- Claude 4.1 Opus Thinking only
- 1
- LFM2.5-8B-A1B only
- 9
- Comparable categories
- 0 / 8
Benchmark data for Claude 4.1 Opus Thinking and LFM2.5-8B-A1B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 5 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude 4.1 Opus Thinking 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 | Claude 4.1 Opus Thinking | Δ | LFM2.5-8B-A1B |
|---|---|---|---|
| Math | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | LFM2.5-8B-A1B50.0 |
| Inst. Following | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | LFM2.5-8B-A1B68.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4.1 Opus Thinking | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4.1 Opus ThinkingNot available | LFM2.5-8B-A1B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4.1 Opus Thinking29 tok/s | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 4.1 Opus Thinking15.00 s | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 4.1 Opus Thinking200K | LFM2.5-8B-A1B128K | Claude 4.1 Opus Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | 8.3% | Claude 4.1 Opus Thinking leads |
| AA-GPQA DiamondSource | 80.9% | 51.3% | Claude 4.1 Opus Thinking leads |
| AA-HLESource | 11.9% | 6.9% | Claude 4.1 Opus Thinking leads |
| AA-Omniscience IndexSource | — | -33.3% | Not comparable |
| AA-Omniscience AccuracySource | — | 9.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 47.0% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 67.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude 4.1 Opus Thinking and LFM2.5-8B-A1B 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 Claude 4.1 Opus Thinking and LFM2.5-8B-A1B today?
Claude 4.1 Opus Thinking: Pricing unavailable LFM2.5-8B-A1B: $0.00 input / $0.00 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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