Claude Fable 5.2 vs DeepSeek R1 Distill Llama 70B
Claude Fable 5.2 leads the LLM Stats Score 61.3 to 13.8. DeepSeek R1 Distill Llama 70B is 91.4x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Fable 5.2 leads the overall LLM Stats Score 61.3 to 13.8, ranking #1 overall.
On price, DeepSeek R1 Distill Llama 70B is roughly 91.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Fable 5.2 also accepts a larger context window (1,000,000 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 5.2
- overall performance matters — it scores 61.3 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 91.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
29 reported for Claude Fable 5.2 · 4 for DeepSeek R1 Distill Llama 70B
Claude Fable 5.2 and DeepSeek R1 Distill Llama 70Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.2 ($8.00/1M tokens) is 80.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).
For output processing, Claude Fable 5.2 ($40.00/1M tokens) is 100.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).
In conclusion, Claude Fable 5.2 is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Fable 5.2 accepts 1,000,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Fable 5.2 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Claude Fable 5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5.2
DeepSeek R1 Distill Llama 70B
License
Usage and distribution terms
Claude Fable 5.2 is licensed under a proprietary license, while DeepSeek R1 Distill Llama 70B 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 5.2 was released on 2026-11-09, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.
Claude Fable 5.2 is 22 months newer than DeepSeek R1 Distill Llama 70B.
Nov 9, 2026
0 days ago
1.8yr newerJan 20, 2025
1.8 years ago
Knowledge Cutoff
When training data ends
Claude Fable 5.2 has a documented knowledge cutoff of 2026-06-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm Claude Fable 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
Jun 2026
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Provider Availability
Claude Fable 5.2 is available from Anthropic. DeepSeek R1 Distill Llama 70B is available from DeepInfra.
Claude Fable 5.2
DeepSeek R1 Distill Llama 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.2 and DeepSeek R1 Distill Llama 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.2 vs DeepSeek R1 Distill Llama 70B.