Confirm Action

Are you sure you want to proceed?

DeepSeek DeepSeek V3.2 VS DeepSeek DeepSeek V4 Pro

DeepSeek V3.2 vs DeepSeek V4 Pro: which wins at real work?

22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.

DeepSeek V4 Pro wins 20 of 22 task areas we tested; DeepSeek V3.2 takes 2. DeepSeek V3.2 costs 2.3× less per token ($0.572 vs $1.305 per 1M).

2
Task areas won
20
38
Avg percentile
67
0
Top-3 finishes
0
$0.57
Price / 1M tokens
$1.3
DeepSeek
Provider
DeepSeek

DeepSeek V3.2 costs 2.3× less per token ($0.572 vs $1.305 per 1M).

Task by task

Task area DeepSeek V3.2 DeepSeek V4 Pro Winner
Content & Brand #95 / 124
Usable
#29 / 124
Strong
DeepSeek V4 Pro
Coding #100 / 115
Usable
#43 / 115
Strong
DeepSeek V4 Pro
Translation & Localization #89 / 110
Strong
#32 / 110
Excellent
DeepSeek V4 Pro
RAG, Safety & Grounding #83 / 113
Excellent
#27 / 113
Excellent
DeepSeek V4 Pro
Legal & HR #90 / 110
Strong
#40 / 110
Excellent
DeepSeek V4 Pro
Presentations & Decks #81 / 110
Strong
#31 / 110
Excellent
DeepSeek V4 Pro
Sales #91 / 110
Usable
#44 / 110
Usable
DeepSeek V4 Pro
Chef / Home Cooking #78 / 126
Usable
#32 / 126
Usable
DeepSeek V4 Pro
Structured Output #67 / 113
Strong
#23 / 113
Excellent
DeepSeek V4 Pro
Executive Assistant #76 / 112
Usable
#38 / 112
Strong
DeepSeek V4 Pro
Creative & Comedy #87 / 110 #50 / 110 DeepSeek V4 Pro
AI Strategy #102 / 126
Usable
#68 / 126
Strong
DeepSeek V4 Pro
Knowledge & Docs #58 / 110
Usable
#25 / 110
Strong
DeepSeek V4 Pro
Landing Pages #48 / 72
Usable
#16 / 72
Strong
DeepSeek V4 Pro
Summarization & Meeting Notes #30 / 110
Excellent
#55 / 110
Excellent
DeepSeek V3.2
Customer Support #74 / 113
Usable
#52 / 113
Strong
DeepSeek V4 Pro
Frontend & Landing Pages #25 / 109
Needs editing
#6 / 109
Usable
DeepSeek V4 Pro
Investor & Pitch #46 / 66
Usable
#33 / 66
Strong
DeepSeek V4 Pro
Data & Analytics #69 / 110
Excellent
#60 / 110
Excellent
DeepSeek V4 Pro
Product & Project Management #21 / 110
Excellent
#12 / 110
Excellent
DeepSeek V4 Pro
Research & Competitive Analysis #53 / 110
Usable
#44 / 110
Strong
DeepSeek V4 Pro
Training & Education #38 / 110
Excellent
#41 / 110
Excellent
DeepSeek V3.2

Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.

Same task, both models — judged

Both models answered the same test case; an independent judge graded each. Quotes are the judge's actual rationale.

Sales

Insight-led touch to a finance buyer (Follow-up & Break-up)
DeepSeek V3.2 55/100

“The model strictly adhered to length and fact constraints, but failed heavily on commercial judgement by explicitly telling the prospect they were being tracked ('Given you opened our last note'). Additionally, the required insight was too generic to add real value.”

DeepSeek V4 Pro 92/100

“The response perfectly executes the prompt's constraints, delivering a concise (under 110 words), hype-free, and highly relevant follow-up email. It leverages the provided facts without any fabrication and leads with the exact requested insight. The ask is clear, low-friction, and contextually tied to the insight.”

Frequently asked

Is DeepSeek V3.2 better than DeepSeek V4 Pro?

Across 22 task areas we benchmarked, DeepSeek V4 Pro ranks higher in 20 and DeepSeek V3.2 in 2.

Which is cheaper, DeepSeek V3.2 or DeepSeek V4 Pro?

DeepSeek V3.2 costs 2.3× less per token ($0.572 vs $1.305 per 1M).

What is DeepSeek V3.2 better at?

DeepSeek V3.2 out-ranks DeepSeek V4 Pro at Summarization & Meeting Notes, Training & Education.

What is DeepSeek V4 Pro better at?

DeepSeek V4 Pro out-ranks DeepSeek V3.2 at Content & Brand, Coding, Translation & Localization.

Full DeepSeek V3.2 review → Full DeepSeek V4 Pro review → Full model leaderboard →

More comparisons

This page is Spring Prompt, running in public

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s