Model Comparison
DeepSeek R1 Distill Llama 70B vs Grok-4 Fast ReasoningWhich is better in 2026?
Comparing DeepSeek R1 Distill Llama 70B and Grok-4 Fast Reasoning across benchmarks, pricing, and capabilities.
Verdict: DeepSeek R1 Distill Llama 70B vs Grok-4 Fast Reasoning — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and Grok-4 Fast Reasoning (by xAI) 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 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-4 Fast Reasoning also accepts a larger context window (2,000,000 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 1.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Grok-4 Fast Reasoning if…
- you process long inputs — it offers a 2,000,000 token context window
- you want the most recent training data — it shipped Aug 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B and Grok-4 Fast Reasoningdon'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 2.0x cheaper than Grok-4 Fast Reasoning ($0.20/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.3x cheaper than Grok-4 Fast Reasoning ($0.50/1M tokens).
In conclusion, Grok-4 Fast Reasoning 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
Grok-4 Fast Reasoning accepts 2,000,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Grok-4 Fast Reasoning is limited to 30,000 tokens.
Input Capabilities
Supported data types and modalities
Grok-4 Fast Reasoning supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Grok-4 Fast Reasoning can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
Grok-4 Fast Reasoning
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Grok-4 Fast Reasoning 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 Grok-4 Fast Reasoning was released on 2025-08-28.
Grok-4 Fast Reasoning is 7 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.4 years ago
Aug 28, 2025
9 months ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Grok-4 Fast Reasoning is available from xAI.
DeepSeek R1 Distill Llama 70B
Grok-4 Fast Reasoning
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Grok-4 Fast Reasoning.