DeepSeek R1 Distill Llama 70B vs Nova Micro
DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.8 to 2.9. Nova Micro is 3.0x cheaper per token.
DeepSeek · Amazon · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.8 to 2.9, ranking #214 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Micro is roughly 3.0x 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
- overall performance matters — it scores 14.8 and ranks #214 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose Nova Micro
- cost matters — it's about 3.0x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 17 for Nova Micro
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Nova Micro is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
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 3.3x more expensive than Nova Micro ($0.03/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.9x more expensive than Nova Micro ($0.14/1M tokens).
In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Nova Micro.*
* Using a 3:1 ratio of input to output tokens
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.
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while Nova Micro 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 Nova Micro was released on 2024-11-20.
DeepSeek R1 Distill Llama 70B is 2 months newer than Nova Micro.
Jan 20, 2025
1.6 years ago
2mo newerNov 20, 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. Nova Micro is available from Bedrock.
DeepSeek R1 Distill Llama 70B
Nova Micro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and Nova Micro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs Nova Micro.