DeepSeek R1 Distill Llama 70B vs Pixtral Large
DeepSeek R1 Distill Llama 70B and Pixtral Large are closely matched at 14.5 and 11.8 on the LLM Stats Score. DeepSeek R1 Distill Llama 70B is 17.1x cheaper per token.
DeepSeek · Mistral AI · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B and Pixtral Large are closely matched on the overall LLM Stats Score at 14.5 and 11.8.
On price, DeepSeek R1 Distill Llama 70B is roughly 17.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 17.1x cheaper per token
- you want the most recent training data — it shipped Jan 2025
Choose Pixtral Large
- you want predictable pricing at $2.00/M input and $6.00/M output
At a glance
The differences that matter most.
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 7 for Pixtral Large
DeepSeek R1 Distill Llama 70B and Pixtral Largedon'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, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 20.0x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 15.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Pixtral Large has 53.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 75.6% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Pixtral Large supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
Pixtral Large
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Pixtral Large was released on 2024-11-18.
DeepSeek R1 Distill Llama 70B is 2 months newer than Pixtral Large.
Jan 20, 2025
1.7 years ago
2mo newerNov 18, 2024
1.8 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
DeepSeek R1 Distill Llama 70B is available from DeepInfra. Pixtral Large is available from Mistral AI.
DeepSeek R1 Distill Llama 70B
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Pixtral Large.