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Model comparison

DeepSeek LLM 2.0 vs DeepSeek V3.2

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.
N/A
No comparison
55.4/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek LLM 2.0 #89 (Estimated); DeepSeek V3.2 #82 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek LLM 2.0 and DeepSeek V3.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek LLM 2.0; 19 to DeepSeek V3.2.

Updated July 20, 2026
Shared results
0
DeepSeek LLM 2.0 only
0
DeepSeek V3.2 only
19
Comparable categories
0 / 8

Benchmark data for DeepSeek LLM 2.0 and DeepSeek V3.2 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 does not have sourced benchmark coverage for DeepSeek LLM 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

DeepSeek V3.2 is priced at $0.28 input / $0.42 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek LLM 2.0.

Operational comparison

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

MetricDeepSeek LLM 2.0DeepSeek V3.2Comparison
Input / output priceUSD per 1M tokensDeepSeek LLM 2.0$0 input / $0 outputDeepSeek V3.2$0.28 input / $0.42 outputDeepSeek LLM 2.0 has the lower combined listed price.
Generation speedtokens per secondDeepSeek LLM 2.0Not availableDeepSeek V3.235 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek LLM 2.0Not availableDeepSeek V3.23.75 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek LLM 2.0128KDeepSeek V3.2128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
Claw-EvalSource 40.2%Not comparable
VITA-BenchSource 18.5%Not comparable
τ²-bench resultsSource 78.9%Not comparable
Gert LabsSource 29.57%Not comparable
Coding
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
SWE-RebenchSource 60.9%Not comparable
React Native EvalsSource 71.5%Not comparable
AA-SciCodeSource 38.7%Not comparable
Reasoning
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
AA-LCRSource 39.0%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
Artificial Analysis Intelligence IndexSource 24.7%Not comparable
AA-GPQA DiamondSource 75.1%Not comparable
AA-HLESource 10.5%Not comparable
AA-Omniscience IndexSource -46.7%Not comparable
AA-Omniscience AccuracySource 24.2%Not comparable
AA-Omniscience Hallucination RateSource 93.5%Not comparable
Math
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
FrontierMath v2 (Tiers 1-3)Source 22.100%Not comparable
FrontierMath v2 (Tier 4)Source 2.100%Not comparable
Multimodal
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
Design Arena WebsiteSource 1206Not comparable
Inst. Following
BenchmarkDeepSeek LLM 2.0DeepSeek V3.2Result
AA-IFBenchSource 49.0%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek LLM 2.0 and DeepSeek V3.2 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 LLM 2.0 and DeepSeek V3.2 today?

DeepSeek LLM 2.0: $0.00 input / $0.00 output per 1M tokens DeepSeek V3.2: $0.28 input / $0.42 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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Last updated: July 20, 2026

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