Claude Opus 5 vs DeepSeek R1 Distill Llama 70B
Claude Opus 5 leads the LLM Stats Score 54.9 to 14.5. DeepSeek R1 Distill Llama 70B is 57.1x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Opus 5 leads the overall LLM Stats Score 54.9 to 14.5, ranking #5 overall.
On price, DeepSeek R1 Distill Llama 70B is roughly 57.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 5 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 Opus 5
- overall performance matters — it scores 54.9 and ranks #5 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 Jul 2026
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 57.1x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
13 reported for Claude Opus 5 · 4 for DeepSeek R1 Distill Llama 70B
Claude Opus 5 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 Opus 5 ($5.00/1M tokens) is 50.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).
For output processing, Claude Opus 5 ($25.00/1M tokens) is 62.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).
In conclusion, Claude Opus 5 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 Opus 5 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 Opus 5 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Claude Opus 5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 5
DeepSeek R1 Distill Llama 70B
License
Usage and distribution terms
Claude Opus 5 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 Opus 5 was released on 2026-07-24, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.
Claude Opus 5 is 18 months newer than DeepSeek R1 Distill Llama 70B.
Jul 24, 2026
1 months ago
1.5yr newerJan 20, 2025
1.6 years 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 Opus 5 is available from Anthropic, DeepInfra. DeepSeek R1 Distill Llama 70B is available from DeepInfra.
Claude Opus 5
DeepSeek R1 Distill Llama 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5 and DeepSeek R1 Distill Llama 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5 vs DeepSeek R1 Distill Llama 70B.