Model Comparison
DeepSeek R1 Distill Llama 70B vs GPT-5.1 CodexWhich is better in 2026?
Comparing DeepSeek R1 Distill Llama 70B and GPT-5.1 Codex across benchmarks, pricing, and capabilities.
Verdict: DeepSeek R1 Distill Llama 70B vs GPT-5.1 Codex — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and GPT-5.1 Codex (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, DeepSeek R1 Distill Llama 70B is roughly 19.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.1 Codex also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Llama 70B if…
- cost matters — it's about 19.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.1 Codex if…
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Nov 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B and GPT-5.1 Codexdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 12.5x cheaper than GPT-5.1 Codex ($1.25/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 25.0x cheaper than GPT-5.1 Codex ($10.00/1M tokens).
In conclusion, GPT-5.1 Codex 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
GPT-5.1 Codex accepts 400,000 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
Supported data types and modalities
GPT-5.1 Codex supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
GPT-5.1 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
GPT-5.1 Codex
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-5.1 Codex uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT-5.1 Codex was released on 2025-11-19.
GPT-5.1 Codex is 10 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.4 years ago
Nov 19, 2025
7 months ago
10mo newerKnowledge Cutoff
When training data ends
GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
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Sep 2024
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-5.1 Codex is available from OpenAI.
DeepSeek R1 Distill Llama 70B
GPT-5.1 Codex
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and GPT-5.1 Codex side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GPT-5.1 Codex.