Claude Fable 5 vs DeepSeek V3.2: 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.
Claude Fable 5 wins 19 of 22 task areas we tested; DeepSeek V3.2 takes 3. DeepSeek V3.2 costs 104.9× less per token ($0.572 vs $60 per 1M).
DeepSeek V3.2 costs 104.9× less per token ($0.572 vs $60 per 1M).
Task by task
| Task area | Claude Fable 5 | DeepSeek V3.2 | Winner |
|---|---|---|---|
| AI Strategy |
#1
/ 126
Strong
|
#102
/ 126
Usable
|
Claude Fable 5 |
| Content & Brand |
#1
/ 124
Excellent
|
#95
/ 124
Usable
|
Claude Fable 5 |
| Coding |
#11
/ 115
Excellent
|
#100
/ 115
Usable
|
Claude Fable 5 |
| Legal & HR |
#1
/ 110
Excellent
|
#90
/ 110
Strong
|
Claude Fable 5 |
| Creative & Comedy | #1 / 110 | #87 / 110 | Claude Fable 5 |
| Sales |
#5
/ 110
Strong
|
#91
/ 110
Usable
|
Claude Fable 5 |
| Chef / Home Cooking |
#3
/ 126
Strong
|
#78
/ 126
Usable
|
Claude Fable 5 |
| Customer Support |
#1
/ 113
Excellent
|
#74
/ 113
Usable
|
Claude Fable 5 |
| Translation & Localization |
#18
/ 110
Excellent
|
#89
/ 110
Strong
|
Claude Fable 5 |
| Data & Analytics |
#3
/ 110
Excellent
|
#69
/ 110
Excellent
|
Claude Fable 5 |
| Presentations & Decks |
#20
/ 110
Excellent
|
#81
/ 110
Strong
|
Claude Fable 5 |
| Product & Project Management |
#76
/ 110
Strong
|
#21
/ 110
Excellent
|
DeepSeek V3.2 |
| Executive Assistant |
#22
/ 112
Strong
|
#76
/ 112
Usable
|
Claude Fable 5 |
| RAG, Safety & Grounding |
#30
/ 113
Excellent
|
#83
/ 113
Excellent
|
Claude Fable 5 |
| Research & Competitive Analysis |
#3
/ 110
Excellent
|
#53
/ 110
Usable
|
Claude Fable 5 |
| Landing Pages |
#1
/ 72
Strong
|
#48
/ 72
Usable
|
Claude Fable 5 |
| Investor & Pitch |
#3
/ 66
Strong
|
#46
/ 66
Usable
|
Claude Fable 5 |
| Frontend & Landing Pages |
#58
/ 109
Needs editing
|
#25
/ 109
Needs editing
|
DeepSeek V3.2 |
| Knowledge & Docs |
#27
/ 110
Strong
|
#58
/ 110
Usable
|
Claude Fable 5 |
| Training & Education |
#16
/ 110
Excellent
|
#38
/ 110
Excellent
|
Claude Fable 5 |
| Summarization & Meeting Notes |
#24
/ 110
Excellent
|
#30
/ 110
Excellent
|
Claude Fable 5 |
| Structured Output |
#68
/ 113
Strong
|
#67
/ 113
Strong
|
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.
Customer Support
Multi-issue ticket (Basic Support Reply Test)
“The response perfectly executes the multi-issue ticket scenario, separating the concerns clearly and providing a highly organized summary table. It avoids inventing facts while maintaining a professional tone and safe risk handling (e.g., asking only for the last 4 digits of the card). It is as specific as possible given the lack of concrete customer details in the prompt.”
“The model completely misunderstood the task. Instead of writing a customer support reply that separates billing, bug, and feature requests for a user, it wrote a generic internal guide defining what those ticket types are. It fails as a support reply.”
Frequently asked
Is Claude Fable 5 better than DeepSeek V3.2?
Across 22 task areas we benchmarked, Claude Fable 5 ranks higher in 19 and DeepSeek V3.2 in 3.
Which is cheaper, Claude Fable 5 or DeepSeek V3.2?
DeepSeek V3.2 costs 104.9× less per token ($0.572 vs $60 per 1M).
What is Claude Fable 5 better at?
Claude Fable 5 out-ranks DeepSeek V3.2 at AI Strategy, Content & Brand, Coding.
What is DeepSeek V3.2 better at?
DeepSeek V3.2 out-ranks Claude Fable 5 at Product & Project Management, Frontend & Landing Pages, Structured Output.
More comparisons
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Prompt × model results
12 test cases · 3 evals