DeepSeek-V3 vs Nova Micro
DeepSeek-V3 leads the LLM Stats Score 16.0 to 2.9. Nova Micro is 8.3x cheaper per token.
DeepSeek · Amazon · Updated for 2026
Which is better?
DeepSeek-V3 leads the overall LLM Stats Score 16.0 to 2.9, ranking #208 overall.
In the 4 individual benchmarks reported for both models, DeepSeek-V3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Micro is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V3
- overall performance matters — it scores 16.0 and ranks #208 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
Choose Nova Micro
- cost matters — it's about 8.3x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for DeepSeek-V3 · 17 for Nova Micro
DeepSeek-V3 outperforms in 3 benchmarks (DROP, GPQA, MMLU), while Nova Micro is better at 1 benchmark (IFEval).
DeepSeek-V3 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 ($0.27/1M tokens) is 9.0x more expensive than Nova Micro ($0.03/1M tokens).
For output processing, DeepSeek-V3 ($1.10/1M tokens) is 7.9x more expensive than Nova Micro ($0.14/1M tokens).
In conclusion, DeepSeek-V3 is more expensive than Nova Micro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V3 accepts 131,072 input tokens compared to Nova Micro's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Nova Micro is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Nova Micro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while Nova Micro was released on 2024-11-20.
DeepSeek-V3 is 1 month newer than Nova Micro.
Dec 25, 2024
1.7 years ago
1mo 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-V3 is available from DeepSeek. Nova Micro is available from Bedrock.
DeepSeek-V3
Nova Micro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 and Nova Micro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 vs Nova Micro.