Model comparison
DeepSeek V4 Pro (High) vs LFM2.5-8B-A1B
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: DeepSeek V4 Pro (High) #16; LFM2.5-8B-A1B unranked
BenchAlign evidence: DeepSeek V4 Pro (High) estimated; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (High) and LFM2.5-8B-A1B share 12 comparable benchmark results. 1 of 8 categories are comparable. 26 results are unique to DeepSeek V4 Pro (High); 6 to LFM2.5-8B-A1B.
Updated July 16, 2026- Shared results
- 12
- DeepSeek V4 Pro (High) only
- 26
- LFM2.5-8B-A1B only
- 6
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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 (High) is clearly ahead on the provisional aggregate, 72 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High)'s sharpest advantage is in mathematics, where it averages 94 against 50.
DeepSeek V4 Pro (High) 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. DeepSeek V4 Pro (High) gives you the larger context window at 1M, 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 | DeepSeek V4 Pro (High) | Δ | LFM2.5-8B-A1B |
|---|---|---|---|
| Math | DeepSeek V4 Pro (High)94.0 | Margin← 44.0 | LFM2.5-8B-A1B50.0 |
| Agentic | DeepSeek V4 Pro (High)70.6 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Coding | DeepSeek V4 Pro (High)69.8 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Knowledge | DeepSeek V4 Pro (High)57.2 | MarginNo overlap | LFM2.5-8B-A1BNot measured |
| Inst. Following | DeepSeek V4 Pro (High)Not 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 | DeepSeek V4 Pro (High) | LFM2.5-8B-A1B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (High)$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 Pro (High)Not available | LFM2.5-8B-A1BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (High)Not available | LFM2.5-8B-A1BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (High)1M | LFM2.5-8B-A1B128K | DeepSeek V4 Pro (High) lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| BrowseCompSource | 80.4% | — | Not comparable |
| HLE w/ toolsSource | 44.7% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| ToolathlonSource | 49% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 16.1% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 39.8% | — | Not comparable |
| GDPval-AASource | 1296 | — | Not comparable |
| BFCL v4Source | — | 49.7% | Not comparable |
Coding8 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| LiveCodeBench Pass@1-COTSource | 89.8% | — | Not comparable |
| CodeforcesSource | 2919.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79.4% | — | Not comparable |
| SWE-bench ProSource | 54.4% | — | Not comparable |
| SWE MultilingualSource | 74.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| Terminal-Bench HardSource | 41.7% | 4.5% | DeepSeek V4 Pro (High) leads |
| AA-SciCodeSource | 46.4% | 7.8% | DeepSeek V4 Pro (High) leads |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| MMLU-ProSource | 87.1% | — | Not comparable |
| SimpleQASource | 46.2% | — | Not comparable |
| Chinese-SimpleQASource | 77.7% | — | Not comparable |
| GPQASource | 89.1% | — | Not comparable |
| GPQA-DSource | 89.1% | — | Not comparable |
| HLESource | 34.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.8% | 8.3% | DeepSeek V4 Pro (High) leads |
| AA-GPQA DiamondSource | 90.5% | 51.3% | DeepSeek V4 Pro (High) leads |
| AA-HLESource | 33.5% | 6.9% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience IndexSource | -9.7% | -33.3% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience AccuracySource | 41.8% | 9.4% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 47.0% | LFM2.5-8B-A1B leads |
MathDeepSeek V4 Pro (High) wins7 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| HMMT Feb 2026Source | 94.0% | — | Not comparable |
| IMOAnswerBenchSource | 88.0% | — | Not comparable |
| ApexSource | 27.4% | — | Not comparable |
| Apex ShortlistSource | 85.5% | — | Not comparable |
| MATH-500Source | — | 88.8% | Not comparable |
| AIME 2025Source | — | 42.5% | Not comparable |
| AIME26Source | — | 50.0% | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | LFM2.5-8B-A1B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1269 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Pro (High) or LFM2.5-8B-A1B?
DeepSeek V4 Pro (High) is ahead on BenchLM's provisional leaderboard, 72 to 37.
Which is better for math, DeepSeek V4 Pro (High) or LFM2.5-8B-A1B?
DeepSeek V4 Pro (High) has the edge for math in this comparison, averaging 94 versus 50. LFM2.5-8B-A1B stays close enough that the answer can still flip depending on your workload.
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