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Model comparison

DeepSeek V3.2 (Thinking) vs DeepSeek V4 Flash

Data verified

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

58.15/100
Margin
0.7pts
winning →
58.88/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.2 (Thinking) #65 (Estimated); DeepSeek V4 Flash #61 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.2 (Thinking) and DeepSeek V4 Flash share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.2 (Thinking); 21 to DeepSeek V4 Flash.

Updated July 23, 2026
Shared results
1
DeepSeek V3.2 (Thinking) only
1
DeepSeek V4 Flash only
21
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.2 (Thinking) and DeepSeek V4 Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

DeepSeek V3.2 (Thinking) is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. DeepSeek V4 Flash has the larger context window at 1M, compared with 128K for DeepSeek V3.2 (Thinking).

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 V3.2 (Thinking) and DeepSeek V4 Flash
CategoryDeepSeek V3.2 (Thinking)ΔDeepSeek V4 Flash
AgenticDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapDeepSeek V4 Flash49.1
CodingDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapDeepSeek V4 Flash64.2
KnowledgeDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapDeepSeek V4 Flash38.8
MathDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapDeepSeek V4 Flash40.8

Operational comparison

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

MetricDeepSeek V3.2 (Thinking)DeepSeek V4 FlashComparison
Input / output priceUSD per 1M tokensDeepSeek V3.2 (Thinking)$0.55 input / $2.19 outputDeepSeek V4 Flash$0.14 input / $0.28 outputDeepSeek V4 Flash has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.2 (Thinking)Not availableDeepSeek V4 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.2 (Thinking)Not availableDeepSeek V4 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.2 (Thinking)128KDeepSeek V4 Flash1MDeepSeek V4 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.2 (Thinking)DeepSeek V4 FlashResult
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
Coding
BenchmarkDeepSeek V3.2 (Thinking)DeepSeek V4 FlashResult
Vibe Code BenchSource 5.11%Not comparable
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
Reasoning
BenchmarkDeepSeek V3.2 (Thinking)DeepSeek V4 FlashResult
MRCR 1MSource 37.5%Not comparable
CorpusQA 1MSource 15.5%Not comparable
Knowledge
BenchmarkDeepSeek V3.2 (Thinking)DeepSeek V4 FlashResult
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
Math
BenchmarkDeepSeek V3.2 (Thinking)DeepSeek V4 FlashResult
HMMT Feb 2026Source 40.8%Not comparable
IMOAnswerBenchSource 41.9%Not comparable
ApexSource 1.0%Not comparable
Apex ShortlistSource 9.3%Not comparable
Multimodal
BenchmarkDeepSeek V3.2 (Thinking)DeepSeek V4 FlashResult
Design Arena WebsiteSource 12041238DeepSeek V4 Flash leads
Frequently Asked Questions (3)

Can I compare DeepSeek V3.2 (Thinking) and DeepSeek V4 Flash 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 V3.2 (Thinking) and DeepSeek V4 Flash today?

DeepSeek V3.2 (Thinking): $0.55 input / $2.19 output per 1M tokens DeepSeek V4 Flash: $0.14 input / $0.28 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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