Claude Fable 5vsDeepSeek-V4-Pro
Across 3 shared benchmarks, Claude Fable 5 leads overall: Claude Fable 5 wins 3, DeepSeek-V4-Pro wins 0, with 0 ties and an average score difference of +33.63.
Claude Fable 5
Anthropic · 2026-06-09 · Reasoning model
DeepSeek-V4-Pro
DeepSeek-AI · 2026-04-24 · Reasoning model
Claude Fable 53 wins(100%)(0%)0 winsDeepSeek-V4-Pro
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
Coding and Software Engineer
Claude Fable 5 2/2| Benchmark | Claude Fable 5 | DeepSeek-V4-Pro | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 80.301 / 43Deep Thinking (With Tools) | 52.1028 / 43Normal (With Tools) | +28.20 |
| SWE-bench Verified | 951 / 108Deep Thinking (With Tools) | 73.6041 / 108Normal (With Tools) | +21.40 |
General Knowledge
Claude Fable 5 1/1Specs
| Field | Claude Fable 5 | DeepSeek-V4-Pro |
|---|---|---|
| Publisher | Anthropic | DeepSeek-AI |
| Release date | 2026-06-09 | 2026-04-24 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | MoE |
| Parameters | Not available | 1.6T |
| Context length | 1M | 1M |
| Max output | 128K | 375K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Claude Fable 5 | DeepSeek-V4-Pro |
|---|---|---|
| Text input | $10 / 1M tokens | $0.435 / 1M tokens |
| Text output | $50 / 1M tokens | $0.87 / 1M tokens |
| Cache read | $1 / 1M tokens | $0.87 / 1M tokens |
| Cache write | $12.5 / 1M tokens | $0.003625 / 1M tokens |
Summary
- Claude Fable 5leads in:Coding and Software Engineer (2/2), General Knowledge (1/1)
On average across the 3 shared benchmarks, Claude Fable 5 scores 33.63 higher.
Largest single-benchmark gap: HLE — Claude Fable 5 59 vs DeepSeek-V4-Pro 7.70 (+51.30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.