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).
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)
“The response fails to properly execute the shared cooking base constraint, includes contradictory instructions regarding the chicken, and suggests poor culinary techniques.”
“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.
More comparisons
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Prompt × model results
12 test cases · 3 evals