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Model comparison

DeepSeek V4 Pro vs LFM2.5-VL-450M

Data verified

Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.66/100
No comparison
N/A
1 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); LFM2.5-VL-450M unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro and LFM2.5-VL-450M share 2 comparable benchmark results. 1 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Pro; 5 to LFM2.5-VL-450M.

Updated July 23, 2026
Shared results
2
DeepSeek V4 Pro only
21
LFM2.5-VL-450M only
5
Comparable categories
1 / 8

Treat this as a split decision. DeepSeek V4 Pro makes more sense if knowledge is the priority or you need the larger 1M context window; LFM2.5-VL-450M is the better fit if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 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 and LFM2.5-VL-450M finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

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-VL-450M. That is roughly Infinityx on output cost alone. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.

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 scores and score margins for DeepSeek V4 Pro and LFM2.5-VL-450M
CategoryDeepSeek V4 ProΔLFM2.5-VL-450M
KnowledgeDeepSeek V4 Pro41.3Margin← 20.8LFM2.5-VL-450M20.5
AgenticDeepSeek V4 Pro59.1MarginNo overlapLFM2.5-VL-450MNot measured
CodingDeepSeek V4 Pro65.3MarginNo overlapLFM2.5-VL-450MNot measured
MathDeepSeek V4 Pro31.7MarginNo overlapLFM2.5-VL-450MNot measured
Inst. FollowingDeepSeek V4 ProNot measuredMarginNo overlapLFM2.5-VL-450M61.2

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 ProB · LFM2.5-VL-450M

  1. MMLU-Pro

    Knowledge
    Source ↗
    A 82.9%B 19.3%
    Winner: DeepSeek V4 ProΔ 63.6
    MMLU-Pro: DeepSeek V4 Pro scored 82.9%; LFM2.5-VL-450M scored 19.3%. DeepSeek V4 Pro wins this benchmark.

  2. GPQA

    Knowledge
    Source ↗
    A 72.9%B 25.7%
    Winner: DeepSeek V4 ProΔ 47.2
    GPQA: DeepSeek V4 Pro scored 72.9%; LFM2.5-VL-450M scored 25.7%. DeepSeek V4 Pro wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 ProLFM2.5-VL-450MComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro$0.435 input / $0.87 outputLFM2.5-VL-450M$0 input / $0 outputLFM2.5-VL-450M has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 ProNot availableLFM2.5-VL-450MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 ProNot availableLFM2.5-VL-450MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro1MLFM2.5-VL-450M128KDeepSeek V4 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
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 —21.1%Not comparable
Coding
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
SWE-bench VerifiedSource 73.6%—Not comparable
SWE-bench ProSource 52.1%—Not comparable
SWE MultilingualSource 69.8%—Not comparable
Terminal-Bench 2.0Source 59.1%—Not comparable
Reasoning
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
MRCR 1MSource 44.7%—Not comparable
CorpusQA 1MSource 35.6%—Not comparable
KnowledgeDeepSeek V4 Pro wins
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
MMLU-ProSource 82.9%19.3%DeepSeek V4 Pro leads
SimpleQASource 45%—Not comparable
Chinese-SimpleQASource 75.8%—Not comparable
GPQASource 72.9%25.7%DeepSeek V4 Pro leads
GPQA-DSource 72.9%—Not comparable
HLESource 7.7%—Not comparable
Math
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
HMMT Feb 2026Source 31.7%—Not comparable
IMOAnswerBenchSource 35.3%—Not comparable
ApexSource 0.4%—Not comparable
Apex ShortlistSource 9.2%—Not comparable
Multimodal
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
Design Arena WebsiteSource 1264—Not comparable
MMMUSource —32.7%Not comparable
RealWorldQASource —58.4%Not comparable
CountBenchSource —73.3%Not comparable
Inst. Following
BenchmarkDeepSeek V4 ProLFM2.5-VL-450MResult
IFEvalSource —61.2%Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V4 Pro or LFM2.5-VL-450M?

DeepSeek V4 Pro and LFM2.5-VL-450M are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, DeepSeek V4 Pro or LFM2.5-VL-450M?

DeepSeek V4 Pro has the edge for knowledge tasks in this comparison, averaging 41.3 versus 20.5. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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