Model comparison
DeepSeek V4 Pro 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 #46 (Supported); 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 and LFM2.5-8B-A1B share 0 comparable benchmark results. 1 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Pro; 17 to LFM2.5-8B-A1B.
Updated July 21, 2026- Shared results
- 0
- DeepSeek V4 Pro only
- 23
- LFM2.5-8B-A1B only
- 17
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Pro 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
DeepSeek V4 Pro is clearly ahead on the BenchAlign aggregate, 60.66 to 41.42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro is also the more expensive model on tokens at $0.43 input / $0.87 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 DeepSeek V4 Pro 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. DeepSeek V4 Pro gives you 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 | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro$0.435 input / $0.87 output | LFM2.5-8B-A1B$0 input / $0 output | LFM2.5-8B-A1B has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 ProNot available | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 ProNot available | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro1M | LFM2.5-8B-A1B128K | DeepSeek V4 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | DeepSeek V4 Pro | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| MCP AtlasSource | 69.4% | — | Not comparable |
| ToolathlonSource | 46.3% | — | Not comparable |
| Claw-EvalSource | 59.8% | — | Not comparable |
| Gert LabsSource | 50.28% | — | Not comparable |
| ResearchClawBenchSource | 17.1% | — | Not comparable |
| BFCL v4Source | — | 49.7% | Not comparable |
| τ²-bench resultsSource | — | 16.1% | Not comparable |
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V4 Pro | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| MMLU-ProSource | 82.9% | — | Not comparable |
| SimpleQASource | 45% | — | Not comparable |
| Chinese-SimpleQASource | 75.8% | — | Not comparable |
| GPQASource | 72.9% | — | Not comparable |
| GPQA-DSource | 72.9% | — | Not comparable |
| HLESource | 7.7% | — | 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 |
MathLFM2.5-8B-A1B wins7 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro or LFM2.5-8B-A1B?
DeepSeek V4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.66 to 41.42.
Which is better for math, DeepSeek V4 Pro or LFM2.5-8B-A1B?
LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 31.7. DeepSeek V4 Pro stays close enough that the answer can still flip depending on your workload.
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