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Model comparison

DeepSeek V4 Flash vs LFM2.5-8B-A1B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
58.88/100
Margin
17.5pts
← winning
41.42/100
0 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); LFM2.5-8B-A1B #166 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash and LFM2.5-8B-A1B share 0 comparable benchmark results. 1 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Flash; 17 to LFM2.5-8B-A1B.

Updated July 21, 2026
Shared results
0
DeepSeek V4 Flash only
22
LFM2.5-8B-A1B only
17
Comparable categories
1 / 8

Pick DeepSeek V4 Flash 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 Flash is clearly ahead on the BenchAlign aggregate, 58.88 to 41.42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

DeepSeek V4 Flash is also the more expensive model on tokens at $0.14 input / $0.28 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 Flash 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 Flash 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.

MetricDeepSeek V4 FlashLFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash$0.14 input / $0.28 outputLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 FlashNot availableLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 FlashNot availableLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash1MLFM2.5-8B-A1B128KDeepSeek V4 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
Terminal-Bench 2.0Source 49.1%—Not comparable
MCP AtlasSource 64%—Not comparable
ToolathlonSource 40.7%—Not comparable
Claw-EvalSource 57.8%—Not comparable
Gert LabsSource 54.35%—Not comparable
BFCL v4Source —49.7%Not comparable
τ²-bench resultsSource —16.1%Not comparable
Coding
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
SWE-bench VerifiedSource 73.7%—Not comparable
SWE-bench ProSource 49.1%—Not comparable
SWE MultilingualSource 69.7%—Not comparable
Terminal-Bench 2.0Source 49.1%—Not comparable
AA-SciCodeSource —7.8%Not comparable
Reasoning
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
MRCR 1MSource 37.5%—Not comparable
CorpusQA 1MSource 15.5%—Not comparable
AA-LCRSource —0.0%Not comparable
CritPtSource —0.0%Not comparable
Knowledge
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
MMLU-ProSource 83%—Not comparable
SimpleQASource 23.1%—Not comparable
Chinese-SimpleQASource 71.5%—Not comparable
GPQASource 71.2%—Not comparable
GPQA-DSource 71.2%—Not comparable
HLESource 8.1%—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 wins
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
HMMT Feb 2026Source 40.8%—Not comparable
IMOAnswerBenchSource 41.9%—Not comparable
ApexSource 1.0%—Not comparable
Apex ShortlistSource 9.3%—Not comparable
MATH-500Source —88.8%Not comparable
AIME 2025Source —42.5%Not comparable
AIME26Source —50.0%Not comparable
Multimodal
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
Design Arena WebsiteSource 1238—Not comparable
Inst. Following
BenchmarkDeepSeek V4 FlashLFM2.5-8B-A1BResult
IFEvalSource —91.8%Not comparable
IFBenchSource —56.5%Not comparable
AA-IFBenchSource —55.6%Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V4 Flash or LFM2.5-8B-A1B?

DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 41.42.

Which is better for math, DeepSeek V4 Flash or LFM2.5-8B-A1B?

LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 40.8. DeepSeek V4 Flash stays close enough that the answer can still flip depending on your workload.

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