Claude Fable 5.1 vs DeepSeek-V4-Pro-0813
Claude Fable 5.1 and DeepSeek-V4-Pro-0813 are closely matched at 54.8 and 52.9 on the LLM Stats Score. DeepSeek-V4-Pro-0813 is 36.8x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Fable 5.1 and DeepSeek-V4-Pro-0813 are closely matched on the overall LLM Stats Score at 54.8 and 52.9.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek-V4-Pro-0813 is roughly 36.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.1
- you want the most recent training data — it shipped Sep 2026
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 36.8x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Claude Fable 5.1 · 12 for DeepSeek-V4-Pro-0813
Claude Fable 5.1 outperforms in 1 benchmarks (Humanity's Last Exam), while DeepSeek-V4-Pro-0813 is better at 1 benchmark (AutomationBench).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.1 ($10.00/1M tokens) is 23.0x more expensive than DeepSeek-V4-Pro-0813 ($0.43/1M tokens).
For output processing, Claude Fable 5.1 ($50.00/1M tokens) is 57.5x more expensive than DeepSeek-V4-Pro-0813 ($0.87/1M tokens).
In conclusion, Claude Fable 5.1 is more expensive than DeepSeek-V4-Pro-0813.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Claude Fable 5.1's 1,000,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Claude Fable 5.1 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Fable 5.1 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Claude Fable 5.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5.1
DeepSeek-V4-Pro-0813
License
Usage and distribution terms
Claude Fable 5.1 is licensed under a proprietary license, while DeepSeek-V4-Pro-0813 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Fable 5.1 was released on 2026-09-01, while DeepSeek-V4-Pro-0813 was released on 2026-08-13.
Claude Fable 5.1 is 1 month newer than DeepSeek-V4-Pro-0813.
Sep 1, 2026
1 days ago
2w newerAug 13, 2026
2 weeks ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Fable 5.1 is available from Anthropic. DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together.
Claude Fable 5.1
DeepSeek-V4-Pro-0813
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.1 and DeepSeek-V4-Pro-0813 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.1 vs DeepSeek-V4-Pro-0813.