DeepSeek-V4-Flash-0731 vs Nova Lite
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 43.8 to 7.6. DeepSeek-V4-Flash-0731 is 1.2x cheaper per token.
DeepSeek · Amazon · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 43.8 to 7.6, ranking #43 overall.
On price, DeepSeek-V4-Flash-0731 is roughly 1.2x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- overall performance matters — it scores 43.8 and ranks #43 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.2x cheaper per token
- 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 Lite
- you want predictable pricing at $0.06/M input and $0.24/M output
At a glance
The differences that matter most.
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 27 for Nova Lite
DeepSeek-V4-Flash-0731 and Nova Litedon'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-V4-Flash-0731 ($0.06/1M tokens) costs the same as Nova Lite ($0.06/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 1.3x cheaper than Nova Lite ($0.24/1M tokens).
In conclusion, Nova Lite is more expensive than DeepSeek-V4-Flash-0731.*
* 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 Lite's 300,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Nova Lite is limited to 2,048 tokens.
Input capabilities
Documented input modalities across available providers
Nova Lite supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Nova Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Nova Lite
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Nova Lite 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 Lite was released on 2024-11-20.
DeepSeek-V4-Flash-0731 is 21 months newer than Nova Lite.
Jul 31, 2026
1 months ago
1.7yr 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-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. Nova Lite is available from Bedrock.
DeepSeek-V4-Flash-0731
Nova Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Nova Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Nova Lite.