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Anthropic Claude Fable 5 VS DeepSeek DeepSeek V3.2

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).

19
Task areas won
3
85
Avg percentile
38
10
Top-3 finishes
0
$60.0
Price / 1M tokens
$0.57
Anthropic
Provider
DeepSeek

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)
Claude Fable 5 85/100

“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.”

DeepSeek V3.2 14/100

“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.

Full Claude Fable 5 review → Full DeepSeek V3.2 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