DeepSeek R1 Distill Llama 70B vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads the LLM Stats Score 40.6 to 14.5.
DeepSeek · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 40.6 to 14.5, ranking #57 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- you want predictable pricing at $0.10/M input and $0.40/M output
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 40.6 and ranks #57 on LLM Stats
- your work emphasizes coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 3 for MiMo-V2.6-Pro
DeepSeek R1 Distill Llama 70B and MiMo-V2.6-Prodon'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
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 949.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 1344.8% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Pro supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
MiMo-V2.6-Pro
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while MiMo-V2.6-Pro was released on 2026-09-22.
MiMo-V2.6-Pro is 20 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.7 years ago
Sep 22, 2026
-1 days ago
1.7yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs MiMo-V2.6-Pro.