Model Comparison
DeepSeek-V4-Flash-0731 vs Nova MicroWhich is better in 2026?
Comparing DeepSeek-V4-Flash-0731 and Nova Micro across benchmarks, pricing, and capabilities.
Verdict: DeepSeek-V4-Flash-0731 vs Nova Micro — which is better?
DeepSeek-V4-Flash-0731 (by DeepSeek) and Nova Micro (by Amazon) 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, Nova Micro is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V4-Flash-0731 if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose Nova Micro if…
- cost matters — it's about 2.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Flash-0731 and Nova Microdon'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-V4-Flash-0731 ($0.09/1M tokens) is 3.0x more expensive than Nova Micro ($0.03/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.3x more expensive than Nova Micro ($0.14/1M tokens).
In conclusion, DeepSeek-V4-Flash-0731 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-V4-Flash-0731 accepts 1,048,576 input tokens compared to Nova Micro's 128,000 tokens. Nova Micro can generate longer responses up to 128,000 tokens, while DeepSeek-V4-Flash-0731 is limited to 65,536 tokens.
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 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-V4-Flash-0731 was released on 2026-07-31, while Nova Micro was released on 2024-11-20.
DeepSeek-V4-Flash-0731 is 21 months newer than Nova Micro.
Jul 31, 2026
4 days ago
1.7yr newerNov 20, 2024
1.7 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-V4-Flash-0731 is available from DeepInfra, Fireworks, Novita. Nova Micro is available from Bedrock.
DeepSeek-V4-Flash-0731
Nova Micro
Outputs Comparison
Key Takeaways
Nova Micro
View detailsAmazon
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Nova Micro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Nova Micro.