Model comparison
Claude Fable 5.1 vs DeepSeek-V3.2-Speciale
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 23× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
DeepSeekSummary
- They share 2 benchmarks with published results for both. Claude Fable 5.1 scores higher in 3 categories and DeepSeek-V3.2-Speciale in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Fable 5.1 leads 76.7 to 32.9.
- The biggest single-benchmark swing is WeirdML: 92.9% for Claude Fable 5.1 and 46.7% for DeepSeek-V3.2-Speciale.
- DeepSeek-V3.2-Speciale is cheaper at $0.58 / $1.68 per million input/output tokens, against $10 / $50 for Claude Fable 5.1.
- Claude Fable 5.1 accepts more context: 1M tokens versus 128K.
- DeepSeek-V3.2-Speciale has downloadable open weights; the other is API-only.
Side by side
| Claude Fable 5.1 | DeepSeek-V3.2-Speciale | |
|---|---|---|
| Provider | Anthropic | DeepSeek |
| Noometry Index | 69.0 | 39.7 |
| Released | 2026-09-01 | 2025-12-01 |
| Weights | Proprietary | Open |
| Context window | 1M | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $10 | $0.58 |
| Output $ / M tokens | $50 | $1.68 |
| Results tracked | 52 | 3 |
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Category by category
Coding Claude Fable 5.1 leads
Claude Fable 5.1: 74.7 (#1), DeepSeek-V3.2-Speciale: 40.4 (#140)
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| WeirdML | 92.9% | 46.7% |
| FrontierCode | 50.9% | — |
| CursorBench | 51.8% | — |
| LMArena WebDev | 1744 | — |
| FrontierSWE | 56.3% | — |
| SciCode | 63.1% | — |
| GSO | 88.2% | — |
| LMArena Coding | 1528 | — |
| MirrorCode | 73.3% | — |
| ALE-Bench | 2,143 | — |
Agentic & Tool Use Not comparable
Claude Fable 5.1: 50.7 (#5), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| APEX-Agents | 68.6% | — |
| Remote Labor Index | 17.9% | — |
| GDP.pdf | 29.6% | — |
| Vending-Bench 2 | 5,422 | — |
Reasoning Claude Fable 5.1 leads
Claude Fable 5.1: 76.7 (#7), DeepSeek-V3.2-Speciale: 32.9 (#73)
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| ARC-AGI-2 | 90% | — |
| SimpleBench | — | 52.6% |
| NYT Connections (extended) | 90% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.1% | — |
| Chess Puzzles | 47% | — |
| EBR-Bench | 57.1% | — |
| LMArena Hard Prompts | 1526 | — |
| Mystery Game Puzzles | 58% | — |
| DTBench | 97.6% | — |
| LMCA | 65.5% | — |
| Epoch Capabilities Index | 164.7 | — |
Math Not comparable
Claude Fable 5.1: 89.6 (#4), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| FrontierMath (Tiers 1-3) | 90.2% | — |
| FrontierMath Tier 4 | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| LMArena Math | 1525 | — |
| FrontierMath Erdős | 0% | — |
Knowledge Not comparable
Claude Fable 5.1: 69.6 (#6), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| Humanity's Last Exam | 46.5% | — |
| SimpleQA Verified | 70.8% | — |
| LMArena Expert | 1535 | — |
Multimodal Not comparable
Claude Fable 5.1: 53.9 (#4), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Vision | 1318 | — |
| Blueprint-Bench 2 | 41.9% | — |
| Furniture Assembly | 70% | — |
| LMArena Document | 1513 | — |
Multilingual Not comparable
Claude Fable 5.1: 59.1 (#3), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Non-English | 1507 | — |
| LMArena Chinese | 1586 | — |
| LMArena French | 1525 | — |
| LMArena German | 1500 | — |
| LMArena Japanese | 1543 | — |
| LMArena Korean | 1534 | — |
| LMArena Russian | 1521 | — |
| LMArena Spanish | 1516 | — |
Instruction Following Not comparable
Claude Fable 5.1: 79.2 (#6), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Instruction Following | 1517 | — |
Long Context Not comparable
Claude Fable 5.1: 46.7 (#20), DeepSeek-V3.2-Speciale: —
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| LMArena Longer Query | 1522 | — |
Writing & Preference Claude Fable 5.1 leads
Claude Fable 5.1: 79.2 (#2), DeepSeek-V3.2-Speciale: 46.0 (#222)
| Benchmark | Claude Fable 5.1 | DeepSeek-V3.2-Speciale |
|---|---|---|
| EQ-Bench Creative Writing | 2162 | 1276 |
| LMArena Text | 1510 | — |
| LMArena Creative Writing | 1507 | — |
| LMArena Multi-Turn | 1492 | — |
Frequently asked questions
Is Claude Fable 5.1 better than DeepSeek-V3.2-Speciale?
Claude Fable 5.1 is the stronger model overall, scoring 69.0 to 39.7 on the Noometry Index. DeepSeek-V3.2-Speciale costs 23× less per token, which makes it the better buy when Claude Fable 5.1's lead doesn't matter for your workload.
Which is cheaper, Claude Fable 5.1 or DeepSeek-V3.2-Speciale?
DeepSeek-V3.2-Speciale is cheaper. It lists at $0.58 per million input tokens and $1.68 per million output tokens; Claude Fable 5.1 lists at $10 and $50.
Is Claude Fable 5.1 or DeepSeek-V3.2-Speciale better for coding?
Claude Fable 5.1 scores higher on coding benchmarks: 74.7 versus 40.4 in the Noometry coding category.
Which has the bigger context window?
Claude Fable 5.1 does, with 1M tokens against 128K.
How many benchmarks do Claude Fable 5.1 and DeepSeek-V3.2-Speciale share?
2 benchmarks have published results for both models. Claude Fable 5.1 has 52 scored results on Noometry and DeepSeek-V3.2-Speciale has 3.