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Model comparison

DeepSeek V3.2 (Thinking) vs Gemini 2.5 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
10.1pts
← winning
48.09/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.2 (Thinking) #65 (Estimated); Gemini 2.5 Flash #130 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.2 (Thinking) and Gemini 2.5 Flash share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.2 (Thinking); 14 to Gemini 2.5 Flash.

Updated July 20, 2026
Shared results
1
DeepSeek V3.2 (Thinking) only
1
Gemini 2.5 Flash only
14
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.2 (Thinking) and Gemini 2.5 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.

Gemini 2.5 Flash is priced at $0.30 input / $2.50 output per 1M tokens, versus $0.55 input / $2.19 output per 1M tokens for DeepSeek V3.2 (Thinking). Gemini 2.5 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 Gemini 2.5 Flash
CategoryDeepSeek V3.2 (Thinking)ΔGemini 2.5 Flash
MathDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapGemini 2.5 Flash4.7

Operational comparison

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

MetricDeepSeek V3.2 (Thinking)Gemini 2.5 FlashComparison
Input / output priceUSD per 1M tokensDeepSeek V3.2 (Thinking)$0.55 input / $2.19 outputGemini 2.5 Flash$0.3 input / $2.5 outputDeepSeek V3.2 (Thinking) has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.2 (Thinking)Not availableGemini 2.5 Flash221 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.2 (Thinking)Not availableGemini 2.5 Flash0.50 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.2 (Thinking)128KGemini 2.5 Flash1MGemini 2.5 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
τ²-bench resultsSource 14.9%Not comparable
Coding
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
Vibe Code BenchSource 5.11%Not comparable
AA-SciCodeSource 29.1%Not comparable
Reasoning
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
AA-LCRSource 45.9%Not comparable
CritPtSource 1.4%Not comparable
Knowledge
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
Artificial Analysis Intelligence IndexSource 14.1%Not comparable
AA-GPQA DiamondSource 68.3%Not comparable
AA-HLESource 5.1%Not comparable
AA-Omniscience IndexSource -42.0%Not comparable
AA-Omniscience AccuracySource 26.5%Not comparable
AA-Omniscience Hallucination RateSource 93.3%Not comparable
Math
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
FrontierMath v2 (Tiers 1-3)Source 4.844%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
Design Arena WebsiteSource 12061148DeepSeek V3.2 (Thinking) leads
AA-MMMU-ProSource 65.5%Not comparable
Inst. Following
BenchmarkDeepSeek V3.2 (Thinking)Gemini 2.5 FlashResult
AA-IFBenchSource 39.0%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.2 (Thinking) and Gemini 2.5 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 Gemini 2.5 Flash today?

DeepSeek V3.2 (Thinking): $0.55 input / $2.19 output per 1M tokens Gemini 2.5 Flash: $0.30 input / $2.50 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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