Claude Fable 5.2 vs DeepSeek V4 Pro 0423
Claude Fable 5.2 leads DeepSeek V4 Pro 0423 on coding, 87.8 to 38.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 15.4x less per output token ($2.60 vs $40.00 per million). Updated November 14, 2026; 30 benchmarks have a result for both.
Claude Fable 5.2 or DeepSeek V4 Pro 0423: which to pick
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 4 benchmarks against 5.
Pick DeepSeek V4 Pro 0423 for output tokens 15.4x cheaper ($2.60 vs $40.00 per million) and a larger context window (1.05M against 1M tokens).
- Shared results
- 30
- Claude Fable 5.2 only
- 38
- DeepSeek V4 Pro 0423 only
- 59
- Like-for-like categories
- 8 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 38.7.
4 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Fable 5.2
Claude Fable 5.2 leads, 64.6 against 12.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0423 has a GPQA Diamond result, 89.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0423 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Claude Fable 5.2
Claude Fable 5.2 leads, 1351 against 1227.
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
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0423
Claude Fable 5.2 $0.028, DeepSeek V4 Pro 0423 $0.0026 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0423 has the number, $0.57.
Directional only
At a glance
- Coding index
- Claude Fable 5.2 87.8 from 4 benchmarks, DeepSeek V4 Pro 0423 38.7 from 5 benchmarks.
- Widest category
- Math, 58.5 points apart on average over 5 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: Claude Fable 5.2 100.0% against DeepSeek V4 Pro 0423 2.4%, 97.6 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5.2 $40.00 against DeepSeek V4 Pro 0423 $2.60 per million output tokens, 15.4x apart.
- Context window
- Claude Fable 5.2 takes 1M tokens, DeepSeek V4 Pro 0423 1.05M.
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 V4 Pro 0423 | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 5 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 5 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 30 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| LiveBench coding | 79.2% | Not measured | Only Claude Fable 5.2 measured |
| LMArena WebDev | 1838 | 1448 | Claude Fable 5.2 |
| LiveCodeBench (Vals AI) | Not measured | 87.5% | Only DeepSeek V4 Pro 0423 measured |
| SWE-bench Verified (Vals AI) | Not measured | 77.4% | Only DeepSeek V4 Pro 0423 measured |
| Terminal-Bench 4 (Vals AI) | 65.2% | 11.1% | Claude Fable 5.2 |
| Vibe Code Bench (Vals AI) | 93.8% | 49.9% | Claude Fable 5.2 |
| Code migration (Vals AI) | Not measured | 26.2% | Only DeepSeek V4 Pro 0423 measured |
| ProgramBench (Vals AI) | 19.0% | 0.0% | Claude Fable 5.2 |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 50.2% | Only DeepSeek V4 Pro 0423 measured |
| SWE-bench Multimodal (Vals AI) | 62.3% | Not measured | Only Claude Fable 5.2 measured |
| SkillsBench (Vals AI) | Not measured | 51.3% | Only DeepSeek V4 Pro 0423 measured |
| SciCode | 67.7% | Not measured | Only Claude Fable 5.2 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 |
| FrontierCode | Not measured | 17.6% | Only DeepSeek V4 Pro 0423 measured |
| FrontierSWE | 69.9% | Not measured | Only Claude Fable 5.2 measured |
| WeirdML | Not measured | 48.9% | Only DeepSeek V4 Pro 0423 measured |
| ALE-Bench | 2509.8 | 1006.1 | Claude Fable 5.2 |
| LMArena Text: coding | Not measured | 1469 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: software and IT | Not measured | 1469 | Only DeepSeek V4 Pro 0423 measured |
| LMArena WebDev: React | 1915 | 1441 | Claude Fable 5.2 |
| LMArena WebDev: HTML | 1738 | 1434 | Claude Fable 5.2 |
| SWE Atlas: Codebase QnA | Not measured | 27.2% | Only DeepSeek V4 Pro 0423 measured |
| SWE Atlas: Test Writing | Not measured | 27.1% | Only DeepSeek V4 Pro 0423 measured |
| GameBench 2 | 99.1 | 51.4 | Claude Fable 5.2 |
| 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 index20
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| AA Intelligence Index | 64.6 | 12.6 | Claude Fable 5.2 |
| Epoch Capabilities Index | 173.4 | 150.2 | Claude Fable 5.2 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1000 | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building full-stack apps | 1402 | 948 | Claude Fable 5.2 |
| Design Arena: agents building mobile apps | 1325 | Not measured | Only Claude Fable 5.2 measured |
| Design Arena: agents building Godot games | Not measured | 1059 | Only DeepSeek V4 Pro 0423 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 |
| Finance Agent (Vals AI) | Not measured | 44.1% | Only DeepSeek V4 Pro 0423 measured |
| Tax Agent Bench (Vals AI) | 32.1% | 25.2% | Claude Fable 5.2 |
| Legal Research Bench (Vals AI) | 46.1% | 23.1% | Claude Fable 5.2 |
| Harvey's Legal Agent Benchmark (Vals AI) | 5.0% | Not measured | Only Claude Fable 5.2 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 51.6% | Only DeepSeek V4 Pro 0423 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 |
| APEX-Agents | 80.1% | Not measured | Only Claude Fable 5.2 measured |
| 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 | $3,285 | Only DeepSeek V4 Pro 0423 measured |
| Toolathlon-Verified | Not measured | 55.9% | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 89.4% | Only DeepSeek V4 Pro 0423 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 |
| Humanity's Last Exam (Artificial Analysis run) | 74.3% | Not measured | Only Claude Fable 5.2 measured |
| 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% | 90.9% | Claude Fable 5.2 |
| ARC-AGI | 98.5% | Not measured | Only Claude Fable 5.2 measured |
| ARC-AGI-2 | 93.8% | Not measured | Only Claude Fable 5.2 measured |
| SimpleBench | 94.9% | Not measured | Only Claude Fable 5.2 measured |
| Chess puzzles | 79.0% | 19.0% | Claude Fable 5.2 |
| Mystery game puzzles | 90.0% | 17.0% | Claude Fable 5.2 |
| EBR-bench | 90.5% | Not measured | Only Claude Fable 5.2 measured |
| LMArena Text: hard prompts | Not measured | 1461 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: expert | Not measured | 1463 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: hard prompts in English | Not measured | 1466 | Only DeepSeek V4 Pro 0423 measured |
| Kagi LLM Benchmark | Not measured | 53.5% | Only DeepSeek V4 Pro 0423 measured |
| Humanity's Last Exam (Scale run) | 72.4% | 13.4% | Claude Fable 5.2 |
| 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 index50
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 99.7% | 96.7% | Claude Fable 5.2 |
| FrontierMath, tiers 1 to 3 | 95.1% | 45.3% | Claude Fable 5.2 |
| FrontierMath, tier 4 | 100.0% | 2.4% | Claude Fable 5.2 |
| ProofBench | 100.0% | 16.0% | Claude Fable 5.2 |
| LMArena Text: math | Not measured | 1442 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: mathematical work | Not measured | 1455 | Only DeepSeek V4 Pro 0423 measured |
| MathArena | 82.8% | 24.5% | Claude Fable 5.2 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.3% | Only DeepSeek V4 Pro 0423 measured |
| LegalBench (Vals AI) | Not measured | 80.3% | Only DeepSeek V4 Pro 0423 measured |
| CaseLaw (Vals AI) | Not measured | 59.4% | Only DeepSeek V4 Pro 0423 measured |
| CorpFin (Vals AI) | Not measured | 61.4% | Only DeepSeek V4 Pro 0423 measured |
| TaxEval (Vals AI) | Not measured | 72.1% | Only DeepSeek V4 Pro 0423 measured |
| MedCode (Vals AI) | Not measured | 40.5% | Only DeepSeek V4 Pro 0423 measured |
| AA-Omniscience | 66.8 | Not measured | Only Claude Fable 5.2 measured |
| SimpleQA Verified | 94.0% | 47.0% | Claude Fable 5.2 |
| LMArena Text: science | Not measured | 1468 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: medicine and healthcare | Not measured | 1465 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: legal and government | Not measured | 1464 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: business and finance | Not measured | 1443 | Only DeepSeek V4 Pro 0423 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 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | Leader |
|---|---|---|---|
| Design Arena: websites | 1351 | 1227 | Claude Fable 5.2 |
| Design Arena: UI components | 1371 | 1211 | Claude Fable 5.2 |
| Design Arena: game dev | 1396 | 1221 | Claude Fable 5.2 |
| Design Arena: data viz | Not measured | 1200 | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: 3D | 1517 | 1232 | Claude Fable 5.2 |
| Design Arena: all code categories | 1373 | 1231 | Claude Fable 5.2 |
| Design Arena: SVG | Not measured | 1128 | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: ASCII art | Not measured | 1143 | Only DeepSeek V4 Pro 0423 measured |
| LiveBench design | 85.1% | Not measured | Only Claude Fable 5.2 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | 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 |
| Public Benefits Bench (Vals AI) | Not measured | 62.9% | Only DeepSeek V4 Pro 0423 measured |
| MedScribe (Vals AI) | Not measured | 75.1% | Only DeepSeek V4 Pro 0423 measured |
| Long context reasoning (AA-LCR) | 83.3% | Not measured | Only Claude Fable 5.2 measured |
| GDPval-AA | 1831 | Not measured | Only Claude Fable 5.2 measured |
| DTBench | 99.2% | 90.7% | Claude Fable 5.2 |
| LMCA | 70.6% | 41.2% | Claude Fable 5.2 |
| Surface Evolver Bench | Not measured | 40.0% | Only DeepSeek V4 Pro 0423 measured |
| Furniture assembly | 90.0% | Not measured | Only Claude Fable 5.2 measured |
| CL-bench Life | Not measured | 13.5% | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text | Not measured | 1451 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: instruction following | Not measured | 1446 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: creative writing | Not measured | 1446 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: English | Not measured | 1459 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: non-English | Not measured | 1439 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: Chinese | Not measured | 1481 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: German | Not measured | 1457 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: Japanese | Not measured | 1445 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: Korean | Not measured | 1407 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: French | Not measured | 1472 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: Spanish | Not measured | 1456 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: Russian | Not measured | 1454 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: Polish | Not measured | 1459 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: multi-turn | Not measured | 1467 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: longer queries | Not measured | 1458 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: writing and language | Not measured | 1447 | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: entertainment and media | Not measured | 1431 | Only DeepSeek V4 Pro 0423 measured |
| EQ-Bench 4 | Not measured | 1156 | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Fable 5.2 | DeepSeek V4 Pro 0423 | 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
DeepSeek V4 Pro 0423 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0423 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0423 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 V4 Pro 0423 |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | April 24, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $8.00 | $1.30 |
| Output $/Mtok | $40.00 | $2.60 |
| Coding index | 87.8 | 38.7 |
| Independent measurements behind it | 4 | 5 |
| Cost per solved task | Not computable | $0.57 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5.2 better than DeepSeek V4 Pro 0423 for coding?
Pick Claude Fable 5.2 for coding: it scores 87.8 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 4 benchmarks against 5. Pick DeepSeek V4 Pro 0423 for output tokens 15.4x cheaper ($2.60 vs $40.00 per million) and a larger context window (1.05M against 1M tokens).
Which is cheaper, Claude Fable 5.2 or DeepSeek V4 Pro 0423?
Claude Fable 5.2 costs $8.00 per million input tokens and $40.00 per million output tokens; DeepSeek V4 Pro 0423 costs $1.30 and $2.60. Cost per solved task is known for DeepSeek V4 Pro 0423 only.
Which has the bigger context window, Claude Fable 5.2 or DeepSeek V4 Pro 0423?
DeepSeek V4 Pro 0423, with 1.05M tokens against 1M.
How many benchmarks is the Claude Fable 5.2 vs DeepSeek V4 Pro 0423 comparison based on?
30 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 V4 Pro 0423's on 5. Where only one model has a result, the page says so instead of naming a winner.