Model comparison
DeepSeek V4 Pro Base 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: DeepSeek V4 Pro Base unranked (Not scored); LFM2.5-8B-A1B #166 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro Base and LFM2.5-8B-A1B share 0 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro Base; 17 to LFM2.5-8B-A1B.
Updated July 21, 2026- Shared results
- 0
- DeepSeek V4 Pro Base only
- 24
- LFM2.5-8B-A1B only
- 17
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V4 Pro Base and LFM2.5-8B-A1B 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
DeepSeek V4 Pro Base has the larger context window at 1M, 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 | DeepSeek V4 Pro Base | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro BaseNot available | LFM2.5-8B-A1B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro BaseNot available | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro BaseNot available | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro Base1M | LFM2.5-8B-A1B128K | DeepSeek V4 Pro Base lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding3 benchmarks
Reasoning8 benchmarks
| Benchmark | DeepSeek V4 Pro Base | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| BBHSource | 87.5% | — | Not comparable |
| DROPSource | 88.7% | — | Not comparable |
| HellaSwagSource | 88.0% | — | Not comparable |
| WinoGrandeSource | 81.5% | — | Not comparable |
| CLUEWSCSource | 85.2% | — | Not comparable |
| LongBench v2Source | 51.5% | — | Not comparable |
| AA-LCRSource | — | 0.0% | Not comparable |
| CritPtSource | — | 0.0% | Not comparable |
Knowledge18 benchmarks
| Benchmark | DeepSeek V4 Pro Base | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| AGIEvalSource | 83.1% | — | Not comparable |
| MMLUSource | 90.1% | — | Not comparable |
| MMLU-ReduxSource | 90.8% | — | Not comparable |
| MMLU-ProSource | 73.5% | — | Not comparable |
| MMMLUSource | 90.3% | — | Not comparable |
| C-EvalSource | 93.1% | — | Not comparable |
| CMMLUSource | 90.8% | — | Not comparable |
| MultiLoKoSource | 51.1% | — | Not comparable |
| SimpleQASource | 55.2% | — | Not comparable |
| SuperGPQASource | 53.9% | — | Not comparable |
| FACTS ParametricSource | 62.6% | — | Not comparable |
| TriviaQASource | 85.6% | — | Not comparable |
| 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 |
Math6 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Pro Base | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| MGSMSource | 84.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V4 Pro Base 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 DeepSeek V4 Pro Base and LFM2.5-8B-A1B today?
DeepSeek V4 Pro Base: 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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