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DeepSeek DeepSeek V3.2 VS OpenAI GPT-5.5

DeepSeek V3.2 vs GPT-5.5: 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.

GPT-5.5 wins 21 of 22 task areas we tested; DeepSeek V3.2 takes 1. DeepSeek V3.2 costs 61.2× less per token ($0.572 vs $35 per 1M).

1
Task areas won
21
38
Avg percentile
86
0
Top-3 finishes
6
$0.57
Price / 1M tokens
$35.0
DeepSeek
Provider
OpenAI

DeepSeek V3.2 costs 61.2× less per token ($0.572 vs $35 per 1M).

Task by task

Task area DeepSeek V3.2 GPT-5.5 Winner
Coding #100 / 115
Usable
#1 / 115
Excellent
GPT-5.5
Content & Brand #95 / 124
Usable
#4 / 124
Strong
GPT-5.5
Translation & Localization #89 / 110
Strong
#3 / 110
Excellent
GPT-5.5
Creative & Comedy #87 / 110 #2 / 110 GPT-5.5
Legal & HR #90 / 110
Strong
#9 / 110
Excellent
GPT-5.5
Presentations & Decks #81 / 110
Strong
#3 / 110
Excellent
GPT-5.5
Chef / Home Cooking #78 / 126
Usable
#4 / 126
Strong
GPT-5.5
Customer Support #74 / 113
Usable
#3 / 113
Strong
GPT-5.5
RAG, Safety & Grounding #83 / 113
Excellent
#16 / 113
Excellent
GPT-5.5
Executive Assistant #76 / 112
Usable
#11 / 112
Strong
GPT-5.5
Structured Output #67 / 113
Strong
#3 / 113
Excellent
GPT-5.5
Knowledge & Docs #58 / 110
Usable
#5 / 110
Excellent
GPT-5.5
Sales #91 / 110
Usable
#42 / 110
Usable
GPT-5.5
Research & Competitive Analysis #53 / 110
Usable
#7 / 110
Excellent
GPT-5.5
AI Strategy #102 / 126
Usable
#62 / 126
Strong
GPT-5.5
Landing Pages #48 / 72
Usable
#9 / 72
Strong
GPT-5.5
Investor & Pitch #46 / 66
Usable
#16 / 66
Strong
GPT-5.5
Training & Education #38 / 110
Excellent
#63 / 110
Excellent
DeepSeek V3.2
Data & Analytics #69 / 110
Excellent
#48 / 110
Excellent
GPT-5.5
Summarization & Meeting Notes #30 / 110
Excellent
#10 / 110
Excellent
GPT-5.5
Product & Project Management #21 / 110
Excellent
#8 / 110
Excellent
GPT-5.5
Frontend & Landing Pages #25 / 109
Needs editing
#13 / 109
Needs editing
GPT-5.5

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

Low-carb/high-carb shared dinner (Practical Recipe Test)
DeepSeek V3.2 20/100

“The response fails to properly execute the shared cooking base constraint, includes contradictory instructions regarding the chicken, and suggests poor culinary techniques.”

GPT-5.5 92/100

“The response is expert-level, perfectly balancing dietary constraints with a shared base, highly realistic timing, and outstanding culinary judgment.”

Frequently asked

Is DeepSeek V3.2 better than GPT-5.5?

Across 22 task areas we benchmarked, GPT-5.5 ranks higher in 21 and DeepSeek V3.2 in 1.

Which is cheaper, DeepSeek V3.2 or GPT-5.5?

DeepSeek V3.2 costs 61.2× less per token ($0.572 vs $35 per 1M).

What is DeepSeek V3.2 better at?

DeepSeek V3.2 out-ranks GPT-5.5 at Training & Education.

What is GPT-5.5 better at?

GPT-5.5 out-ranks DeepSeek V3.2 at Coding, Content & Brand, Translation & Localization.

Full DeepSeek V3.2 review → Full GPT-5.5 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.
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  • 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