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Model comparison

DeepSeek R1 Distill Qwen 32B vs DeepSeek V4 Flash (High)

Data verified

Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

42.58/100
Margin
11.4pts
winning →
53.95/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek R1 Distill Qwen 32B #160 (Estimated); DeepSeek V4 Flash (High) #92 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek R1 Distill Qwen 32B and DeepSeek V4 Flash (High) share 6 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek R1 Distill Qwen 32B; 32 to DeepSeek V4 Flash (High).

Updated July 23, 2026
Shared results
6
DeepSeek R1 Distill Qwen 32B only
0
DeepSeek V4 Flash (High) only
32
Comparable categories
0 / 8

Benchmark data for DeepSeek R1 Distill Qwen 32B and DeepSeek V4 Flash (High) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

DeepSeek V4 Flash (High) is priced at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek R1 Distill Qwen 32B. DeepSeek V4 Flash (High) has the larger context window at 1M, compared with 128K for DeepSeek R1 Distill Qwen 32B.

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 R1 Distill Qwen 32B and DeepSeek V4 Flash (High)
CategoryDeepSeek R1 Distill Qwen 32BΔDeepSeek V4 Flash (High)
AgenticDeepSeek R1 Distill Qwen 32BNot measuredMarginNo overlapDeepSeek V4 Flash (High)55.3
CodingDeepSeek R1 Distill Qwen 32BNot measuredMarginNo overlapDeepSeek V4 Flash (High)68.5
KnowledgeDeepSeek R1 Distill Qwen 32BNot measuredMarginNo overlapDeepSeek V4 Flash (High)52.1
MathDeepSeek R1 Distill Qwen 32BNot measuredMarginNo overlapDeepSeek V4 Flash (High)91.9

Operational comparison

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

MetricDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Comparison
Input / output priceUSD per 1M tokensDeepSeek R1 Distill Qwen 32B$0 input / $0 outputDeepSeek V4 Flash (High)$0.14 input / $0.28 outputDeepSeek R1 Distill Qwen 32B has the lower combined listed price.
Generation speedtokens per secondDeepSeek R1 Distill Qwen 32B60 tok/sDeepSeek V4 Flash (High)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek R1 Distill Qwen 32B0.84 sDeepSeek V4 Flash (High)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek R1 Distill Qwen 32B128KDeepSeek V4 Flash (High)1MDeepSeek V4 Flash (High) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
Terminal-Bench 2.0Source 56.6%Not comparable
BrowseCompSource 53.5%Not comparable
HLE w/ toolsSource 40.3%Not comparable
MCP AtlasSource 67.4%Not comparable
ToolathlonSource 43.5%Not comparable
τ²-bench resultsSource 95.6%Not comparable
AA Agentic IndexSource 28.2%Not comparable
GDPval-AASource 32.4%Not comparable
GDPval-AASource 1147Not comparable
Coding
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
AA-SciCodeSource 37.6%42.0%DeepSeek V4 Flash (High) leads
CodeforcesSource 2816.0Not comparable
SWE-bench VerifiedSource 78.6%Not comparable
SWE-bench ProSource 52.3%Not comparable
SWE MultilingualSource 70.2%Not comparable
Terminal-Bench 2.0Source 56.6%Not comparable
AA Coding IndexSource 52.0%Not comparable
Reasoning
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
AA-LCRSource 9.7%62.7%DeepSeek V4 Flash (High) leads
MRCR 1MSource 76.9%Not comparable
CorpusQA 1MSource 59.3%Not comparable
CritPtSource 3.4%Not comparable
Knowledge
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
Artificial Analysis Intelligence IndexSource 11.0%37.5%DeepSeek V4 Flash (High) leads
AA-GPQA DiamondSource 61.5%86.7%DeepSeek V4 Flash (High) leads
AA-HLESource 5.5%27.8%DeepSeek V4 Flash (High) leads
MMLU-ProSource 86.4%Not comparable
SimpleQASource 28.9%Not comparable
Chinese-SimpleQASource 73.2%Not comparable
GPQASource 87.4%Not comparable
GPQA-DSource 87.4%Not comparable
HLESource 29.4%Not comparable
AA-Omniscience IndexSource -22.3%Not comparable
AA-Omniscience AccuracySource 35.5%Not comparable
AA-Omniscience Hallucination RateSource 89.7%Not comparable
Math
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
HMMT Feb 2026Source 91.9%Not comparable
IMOAnswerBenchSource 85.1%Not comparable
ApexSource 19.1%Not comparable
Apex ShortlistSource 72.1%Not comparable
Multimodal
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
Design Arena WebsiteSource 1238Not comparable
Inst. Following
BenchmarkDeepSeek R1 Distill Qwen 32BDeepSeek V4 Flash (High)Result
AA-IFBenchSource 22.9%73.5%DeepSeek V4 Flash (High) leads
Frequently Asked Questions (3)

Can I compare DeepSeek R1 Distill Qwen 32B and DeepSeek V4 Flash (High) 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 R1 Distill Qwen 32B and DeepSeek V4 Flash (High) today?

DeepSeek R1 Distill Qwen 32B: $0.00 input / $0.00 output per 1M tokens DeepSeek V4 Flash (High): $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.

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Last updated: July 23, 2026

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