Claude Fable 5.2 vs DeepSeek V3.2
Claude Fable 5.2 leads DeepSeek V3.2 on coding, 87.8 to 30.0 on the Vibe Coding Index, and DeepSeek V3.2 costs 100.0x less per output token ($0.40 vs $40.00 per million). Updated November 14, 2026; 19 benchmarks have a result for both.
vs boards won of 19 shared
Claude Fable 5.2 or DeepSeek V3.2: which to pick
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 30.0 for DeepSeek V3.2.
Pick DeepSeek V3.2 for output tokens 100.0x cheaper ($0.40 vs $40.00 per million).
Model AClaude Fable 5.2Anthropic87.8/1004 independent benchmarksNo cost per solved taskModel BDeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved task
- Shared results
- 19
- Claude Fable 5.2 only
- 49
- DeepSeek V3.2 only
- 57
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
Claude Fable 5.2
Claude Fable 5.2 scores 87.8 against 30.0.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Claude Fable 5.2 has a AA Intelligence Index result, 64.6.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V3.2 has a GPQA Diamond result, 80.3%.
Directional only
Math
AIME
No call
Only DeepSeek V3.2 has a AIME result, 84.6%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3.2 has a MMLU Pro result, 84.9%.
Directional only
Web design
Design Arena: websites
Claude Fable 5.2
Claude Fable 5.2 leads, 1351 against 1167.
Same board, both measured
General
Vals Index
No call
Only Claude Fable 5.2 has a Vals Index result, 71.3%.
Directional only
Long documents
Listed context window
Claude Fable 5.2
Claude Fable 5.2 takes 1M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2
Claude Fable 5.2 $0.028, DeepSeek V3.2 $0.0005 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V3.2 has the number, $0.99.
Directional only
At a glance
- Coding index
- Claude Fable 5.2 87.8 from 4 benchmarks, DeepSeek V3.2 30.0 from 3 benchmarks.
- Widest category
- Math, 66.9 points apart on average over 1 shared benchmark.
- Widest single gap
- ARC-AGI-2: Claude Fable 5.2 93.8% against DeepSeek V3.2 4.0%, 89.7 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5.2 $40.00 against DeepSeek V3.2 $0.40 per million output tokens, 100.0x apart.
- Context window
- Claude Fable 5.2 takes 1M tokens, DeepSeek V3.2 164K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Fable 5.2 | Bars | DeepSeek V3.2 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 1 | 0 | ||
| Web design | 5 | 0 | ||
| General | 4 | 0 | ||
| All shared boards | 19 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 70.0% | Only DeepSeek V3.2 measured |
| SWE-bench Multilingual | Not measured | 59.0% | Only DeepSeek V3.2 measured |
| LiveBench coding | 79.2% | Not measured | Only Claude Fable 5.2 measured |
| LMArena WebDev | 1838 | 1362 | Claude Fable 5.2 |
| AA Coding Index | Not measured | 44.2 | Only DeepSeek V3.2 measured |
| LiveCodeBench (Vals AI) | Not measured | 80.7% | Only DeepSeek V3.2 measured |
| SWE-bench Verified (Vals AI) | Not measured | 67.6% | Only DeepSeek V3.2 measured |
| Terminal-Bench 4 (Vals AI) | 65.2% | Not measured | Only Claude Fable 5.2 measured |
| Vibe Code Bench (Vals AI) | 93.8% | 5.1% | Claude Fable 5.2 |
| ProgramBench (Vals AI) | 19.0% | Not measured | Only Claude Fable 5.2 measured |
| SWE-bench Multimodal (Vals AI) | 62.3% | Not measured | Only Claude Fable 5.2 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 86.2% | Only DeepSeek V3.2 measured |
| SciCode | 67.7% | Not measured | Only Claude Fable 5.2 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 35.6% | Only DeepSeek V3.2 measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 61.6% | Not measured | Only Claude Fable 5.2 measured |
| FrontierCode 2.0 | 49.1% | Not measured | Only Claude Fable 5.2 measured |
| Terminal-Bench | Not measured | 39.6% | Only DeepSeek V3.2 measured |
| FrontierSWE | 69.9% | Not measured | Only Claude Fable 5.2 measured |
| ALE-Bench | 2509.8 | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: coding | Not measured | 1453 | Only DeepSeek V3.2 measured |
| LMArena Text: software and IT | Not measured | 1450 | Only DeepSeek V3.2 measured |
| LMArena WebDev: React | 1915 | 1350 | Claude Fable 5.2 |
| LMArena WebDev: HTML | 1738 | 1370 | Claude Fable 5.2 |
| GameBench 2 | 99.1 | Not measured | Only Claude Fable 5.2 measured |
| Terminal-Bench 2.0 | Not measured | 39.6% | Only DeepSeek V3.2 measured |
| CursorBench 4.0 | 60.0% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 64.6 | Not measured | Only Claude Fable 5.2 measured |
| Epoch Capabilities Index | 173.4 | 146.3 | Claude Fable 5.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| Design Arena: agents building full-stack apps | 1402 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: agents building mobile apps | 1325 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: spreadsheets | 1434 | Not measured | Only Claude Fable 5.2 measured |
| LiveBench research | 94.5% | Not measured | Only Claude Fable 5.2 measured |
| LiveBench browser | 86.9% | Not measured | Only Claude Fable 5.2 measured |
| LiveBench long agentic | 82.9% | Not measured | Only Claude Fable 5.2 measured |
| Tax Agent Bench (Vals AI) | 32.1% | Not measured | Only Claude Fable 5.2 measured |
| Legal Research Bench (Vals AI) | 46.1% | Not measured | Only Claude Fable 5.2 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 5.0% | Not measured | Only Claude Fable 5.2 measured |
| BioMysteryBench (Vals AI) | 83.7% | Not measured | Only Claude Fable 5.2 measured |
| Terminal-Bench-Science (Vals AI) | 55.7% | Not measured | Only Claude Fable 5.2 measured |
| Vals Science Index | 63.7% | Not measured | Only Claude Fable 5.2 measured |
| τ²-Bench Telecom | Not measured | 90.6% | Only DeepSeek V3.2 measured |
| APEX-Agents | 80.1% | 21.3% | Claude Fable 5.2 |
| Remote Labor Index | 41.3% | Not measured | Only Claude Fable 5.2 measured |
| SpireClimb | 15.5% | Not measured | Only Claude Fable 5.2 measured |
| Vending-Bench 2 | Not measured | $1,034 | Only DeepSeek V3.2 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 80.3% | Only DeepSeek V3.2 measured |
| LiveBench reasoning | 88.8% | Not measured | Only Claude Fable 5.2 measured |
| MysteryMechanism (Vals AI) | 51.8% | Not measured | Only Claude Fable 5.2 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.0% | Only DeepSeek V3.2 measured |
| Humanity's Last Exam (Artificial Analysis run) | 74.3% | 24.6% | Claude Fable 5.2 |
| HLE-Diamond (Artificial Analysis run) | 80.2% | Not measured | Only Claude Fable 5.2 measured |
| CritPt v2, hard subset (Artificial Analysis run) | 76.5% | Not measured | Only Claude Fable 5.2 measured |
| GPQA Diamond (Epoch AI run) | 93.9% | Not measured | Only Claude Fable 5.2 measured |
| ARC-AGI | 98.5% | 57.0% | Claude Fable 5.2 |
| ARC-AGI-2 | 93.8% | 4.0% | Claude Fable 5.2 |
| SimpleBench | 94.9% | Not measured | Only Claude Fable 5.2 measured |
| Chess puzzles | 79.0% | Not measured | Only Claude Fable 5.2 measured |
| Mystery game puzzles | 90.0% | Not measured | Only Claude Fable 5.2 measured |
| EBR-bench | 90.5% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: hard prompts | Not measured | 1434 | Only DeepSeek V3.2 measured |
| LMArena Text: expert | Not measured | 1435 | Only DeepSeek V3.2 measured |
| LMArena Text: hard prompts in English | Not measured | 1446 | Only DeepSeek V3.2 measured |
| Humanity's Last Exam (Scale run) | 72.4% | Not measured | Only Claude Fable 5.2 measured |
| GoBench | 2566 | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| AIME | Not measured | 84.6% | Only DeepSeek V3.2 measured |
| MGSM (Vals AI) | Not measured | 86.0% | Only DeepSeek V3.2 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 92.0% | Only DeepSeek V3.2 measured |
| OTIS Mock AIME | 99.7% | Not measured | Only Claude Fable 5.2 measured |
| FrontierMath, tiers 1 to 3 | 95.1% | Not measured | Only Claude Fable 5.2 measured |
| FrontierMath, tier 4 | 100.0% | Not measured | Only Claude Fable 5.2 measured |
| ProofBench | 100.0% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: math | Not measured | 1435 | Only DeepSeek V3.2 measured |
| LMArena Text: mathematical work | Not measured | 1439 | Only DeepSeek V3.2 measured |
| MathArena | 82.8% | 15.9% | Claude Fable 5.2 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.9% | Only DeepSeek V3.2 measured |
| LegalBench (Vals AI) | Not measured | 76.1% | Only DeepSeek V3.2 measured |
| CaseLaw (Vals AI) | Not measured | 55.4% | Only DeepSeek V3.2 measured |
| CorpFin (Vals AI) | Not measured | 51.0% | Only DeepSeek V3.2 measured |
| TaxEval (Vals AI) | Not measured | 68.2% | Only DeepSeek V3.2 measured |
| MedQA (Vals AI) | Not measured | 93.9% | Only DeepSeek V3.2 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 86.2% | Only DeepSeek V3.2 measured |
| AA-Omniscience | 66.8 | Not measured | Only Claude Fable 5.2 measured |
| SimpleQA Verified | 94.0% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: science | Not measured | 1446 | Only DeepSeek V3.2 measured |
| LMArena Text: medicine and healthcare | Not measured | 1441 | Only DeepSeek V3.2 measured |
| LMArena Text: legal and government | Not measured | 1425 | Only DeepSeek V3.2 measured |
| LMArena Text: business and finance | Not measured | 1410 | Only DeepSeek V3.2 measured |
| PRBench Finance | 47.1% | Not measured | Only Claude Fable 5.2 measured |
| PRBench Legal | 49.0% | Not measured | Only Claude Fable 5.2 measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1351 | 1167 | Claude Fable 5.2 |
| Design Arena: UI components | 1371 | 1139 | Claude Fable 5.2 |
| Design Arena: game dev | 1396 | 1121 | Claude Fable 5.2 |
| Design Arena: data viz | Not measured | 1155 | Only DeepSeek V3.2 measured |
| Design Arena: 3D | 1517 | 1112 | Claude Fable 5.2 |
| Design Arena: all code categories | 1373 | 1153 | Claude Fable 5.2 |
| Design Arena: SVG | Not measured | 1021 | Only DeepSeek V3.2 measured |
| Design Arena: ASCII art | Not measured | 1077 | Only DeepSeek V3.2 measured |
| LiveBench design | 85.1% | Not measured | Only Claude Fable 5.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| Vals Index | 71.3% | Not measured | Only Claude Fable 5.2 measured |
| LiveBench data analysis | 81.5% | Not measured | Only Claude Fable 5.2 measured |
| IFBench | Not measured | 60.7% | Only DeepSeek V3.2 measured |
| Long context reasoning (AA-LCR) | 83.3% | 73.3% | Claude Fable 5.2 |
| GDPval-AA | 1831 | 699 | Claude Fable 5.2 |
| DTBench | 99.2% | 85.6% | Claude Fable 5.2 |
| LMCA | 70.6% | 28.8% | Claude Fable 5.2 |
| CL-bench | Not measured | 12.4% | Only DeepSeek V3.2 measured |
| Furniture assembly | 90.0% | Not measured | Only Claude Fable 5.2 measured |
| CL-bench Life | Not measured | 7.4% | Only DeepSeek V3.2 measured |
| LMArena Text | Not measured | 1425 | Only DeepSeek V3.2 measured |
| LMArena Text: instruction following | Not measured | 1413 | Only DeepSeek V3.2 measured |
| LMArena Text: creative writing | Not measured | 1400 | Only DeepSeek V3.2 measured |
| LMArena Text: English | Not measured | 1440 | Only DeepSeek V3.2 measured |
| LMArena Text: non-English | Not measured | 1409 | Only DeepSeek V3.2 measured |
| LMArena Text: Chinese | Not measured | 1455 | Only DeepSeek V3.2 measured |
| LMArena Text: German | Not measured | 1412 | Only DeepSeek V3.2 measured |
| LMArena Text: Japanese | Not measured | 1377 | Only DeepSeek V3.2 measured |
| LMArena Text: Korean | Not measured | 1370 | Only DeepSeek V3.2 measured |
| LMArena Text: French | Not measured | 1429 | Only DeepSeek V3.2 measured |
| LMArena Text: Spanish | Not measured | 1424 | Only DeepSeek V3.2 measured |
| LMArena Text: Russian | Not measured | 1424 | Only DeepSeek V3.2 measured |
| LMArena Text: Polish | Not measured | 1419 | Only DeepSeek V3.2 measured |
| LMArena Text: multi-turn | Not measured | 1427 | Only DeepSeek V3.2 measured |
| LMArena Text: longer queries | Not measured | 1428 | Only DeepSeek V3.2 measured |
| LMArena Text: writing and language | Not measured | 1407 | Only DeepSeek V3.2 measured |
| LMArena Text: entertainment and media | Not measured | 1395 | Only DeepSeek V3.2 measured |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Fable 5.2 | DeepSeek V3.2 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Claude Fable 5.2$0.028Fits in one request
DeepSeek V3.2$0.0005Fits in one request
DeepSeek V3.2 costs less
Repository review
50K input + 3K output tokens
Claude Fable 5.2$0.520Fits in one request
DeepSeek V3.2$0.014Fits in one request
DeepSeek V3.2 costs less
Agent loop
200K input + 10K output tokens
Claude Fable 5.2$2.00Fits in one request
DeepSeek V3.2$0.056Exceeds the context window
DeepSeek V3.2 costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Fable 5.2 | DeepSeek V3.2 |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | December 1, 2025 |
| Context window | 1M | 164K |
| Input $/Mtok | $8.00 | $0.26 |
| Output $/Mtok | $40.00 | $0.40 |
| Coding index | 87.8 | 30.0 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | $0.99 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5.2 better than DeepSeek V3.2 for coding?
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 30.0 for DeepSeek V3.2. Pick DeepSeek V3.2 for output tokens 100.0x cheaper ($0.40 vs $40.00 per million).
Which is cheaper, Claude Fable 5.2 or DeepSeek V3.2?
Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens; DeepSeek V3.2 costs $0.26 and $0.40. Cost per solved task is known for DeepSeek V3.2 only.
Which has the bigger context window, Claude Fable 5.2 or DeepSeek V3.2?
Claude Fable 5.2, with 1M tokens against 164K.
How many benchmarks is the Claude Fable 5.2 vs DeepSeek V3.2 comparison based on?
19 benchmarks have a result for both models as of November 14, 2026. Claude Fable 5.2's coding index rests on 4 independent benchmarks and DeepSeek V3.2's on 3. Where only one model has a result, the page says so instead of naming a winner.