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Model comparison

DeepSeek V3.2 (Thinking) vs GPT-5 mini

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
14.2pts
← winning
43.93/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.2 (Thinking) #65 (Estimated); GPT-5 mini #153 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.2 (Thinking) and GPT-5 mini share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.2 (Thinking); 0 to GPT-5 mini.

Updated July 20, 2026
Shared results
1
DeepSeek V3.2 (Thinking) only
1
GPT-5 mini only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.2 (Thinking) and GPT-5 mini 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 $0.25 input / $2.00 output per 1M tokens for GPT-5 mini.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

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

MetricDeepSeek V3.2 (Thinking)GPT-5 miniComparison
Input / output priceUSD per 1M tokensDeepSeek V3.2 (Thinking)$0.55 input / $2.19 outputGPT-5 mini$0.25 input / $2 outputGPT-5 mini has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.2 (Thinking)Not availableGPT-5 mini86 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.2 (Thinking)Not availableGPT-5 mini65.32 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.2 (Thinking)128KGPT-5 mini128KListed context windows are equal.

Benchmark Deep Dive

Coding
BenchmarkDeepSeek V3.2 (Thinking)GPT-5 miniResult
Vibe Code BenchSource 5.11%14.17%GPT-5 mini leads
Multimodal
BenchmarkDeepSeek V3.2 (Thinking)GPT-5 miniResult
Design Arena WebsiteSource 1206Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.2 (Thinking) and GPT-5 mini 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 GPT-5 mini today?

DeepSeek V3.2 (Thinking): $0.55 input / $2.19 output per 1M tokens GPT-5 mini: $0.25 input / $2.00 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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