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DeepSeek DeepSeek V3.2 VS Google Gemini 3.1 Pro Preview

DeepSeek V3.2 vs Gemini 3.1 Pro Preview: 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.

Gemini 3.1 Pro Preview wins 20 of 22 task areas we tested; DeepSeek V3.2 takes 2. DeepSeek V3.2 costs 24.5× less per token ($0.572 vs $14 per 1M).

2
Task areas won
20
38
Avg percentile
82
0
Top-3 finishes
1
$0.57
Price / 1M tokens
$14.0
DeepSeek
Provider
Google

DeepSeek V3.2 costs 24.5× less per token ($0.572 vs $14 per 1M).

Task by task

Task area DeepSeek V3.2 Gemini 3.1 Pro Preview Winner
Content & Brand #95 / 124
Usable
#11 / 124
Strong
Gemini 3.1 Pro Preview
Creative & Comedy #87 / 110 #4 / 110 Gemini 3.1 Pro Preview
RAG, Safety & Grounding #83 / 113
Excellent
#8 / 113
Excellent
Gemini 3.1 Pro Preview
Translation & Localization #89 / 110
Strong
#14 / 110
Excellent
Gemini 3.1 Pro Preview
Legal & HR #90 / 110
Strong
#17 / 110
Excellent
Gemini 3.1 Pro Preview
Chef / Home Cooking #78 / 126
Usable
#6 / 126
Strong
Gemini 3.1 Pro Preview
Customer Support #74 / 113
Usable
#2 / 113
Strong
Gemini 3.1 Pro Preview
AI Strategy #102 / 126
Usable
#33 / 126
Strong
Gemini 3.1 Pro Preview
Executive Assistant #76 / 112
Usable
#14 / 112
Strong
Gemini 3.1 Pro Preview
Sales #91 / 110
Usable
#32 / 110
Strong
Gemini 3.1 Pro Preview
Presentations & Decks #81 / 110
Strong
#24 / 110
Excellent
Gemini 3.1 Pro Preview
Structured Output #67 / 113
Strong
#15 / 113
Excellent
Gemini 3.1 Pro Preview
Knowledge & Docs #58 / 110
Usable
#19 / 110
Strong
Gemini 3.1 Pro Preview
Coding #100 / 115
Usable
#64 / 115
Strong
Gemini 3.1 Pro Preview
Landing Pages #48 / 72
Usable
#14 / 72
Strong
Gemini 3.1 Pro Preview
Training & Education #38 / 110
Excellent
#4 / 110
Excellent
Gemini 3.1 Pro Preview
Investor & Pitch #46 / 66
Usable
#13 / 66
Strong
Gemini 3.1 Pro Preview
Data & Analytics #69 / 110
Excellent
#39 / 110
Excellent
Gemini 3.1 Pro Preview
Summarization & Meeting Notes #30 / 110
Excellent
#4 / 110
Excellent
Gemini 3.1 Pro Preview
Research & Competitive Analysis #53 / 110
Usable
#42 / 110
Strong
Gemini 3.1 Pro Preview
Frontend & Landing Pages #25 / 109
Needs editing
#34 / 109
Needs editing
DeepSeek V3.2
Product & Project Management #21 / 110
Excellent
#25 / 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.

Chef / Home Cooking

Thai stir fry substitutions (Substitution Test)
DeepSeek V3.2 55/100

“The model provides excellent substitutions, accurate flavour judgements, and perfectly adheres to the authenticity constraint. However, it hallucinates a random Chinese phrase ('我们发现') in the middle of the ingredient quantities, which is a malformed output failure requiring a heavy penalty on quantities and clarity.”

Gemini 3.1 Pro Preview 94/100

“The model provides an exceptionally strong, expert-level response. The culinary judgment shown in combining rehydrated dried basil with fresh mint to mimic holy basil is outstanding. The flavour tradeoffs are highly accurate, specifically noting the change in sauce viscosity and the shift in flavour profile towards Larb. All constraints were perfectly met.”

Frequently asked

Is DeepSeek V3.2 better than Gemini 3.1 Pro Preview?

Across 22 task areas we benchmarked, Gemini 3.1 Pro Preview ranks higher in 20 and DeepSeek V3.2 in 2.

Which is cheaper, DeepSeek V3.2 or Gemini 3.1 Pro Preview?

DeepSeek V3.2 costs 24.5× less per token ($0.572 vs $14 per 1M).

What is DeepSeek V3.2 better at?

DeepSeek V3.2 out-ranks Gemini 3.1 Pro Preview at Frontend & Landing Pages, Product & Project Management.

What is Gemini 3.1 Pro Preview better at?

Gemini 3.1 Pro Preview out-ranks DeepSeek V3.2 at Content & Brand, Creative & Comedy, RAG, Safety & Grounding.

Full DeepSeek V3.2 review → Full Gemini 3.1 Pro Preview 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.

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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