DeepSeek-V2.5 vs Nova Lite
DeepSeek-V2.5 and Nova Lite are closely matched at 8.4 and 7.8 on the LLM Stats Score. Nova Lite is 1.7x cheaper per token.
DeepSeek · Amazon · Updated for 2026
Which is better?
DeepSeek-V2.5 and Nova Lite are closely matched on the overall LLM Stats Score at 8.4 and 7.8.
In the 5 individual benchmarks reported for both models, DeepSeek-V2.5 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Lite is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nova Lite also accepts a larger context window (300,000 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-V2.5
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
- you need open weights you can self-host or fine-tune
Choose Nova Lite
- cost matters — it's about 1.7x cheaper per token
- you process long inputs — it offers a 300,000 token context window
- you want the most recent training data — it shipped Nov 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for DeepSeek-V2.5 · 27 for Nova Lite
DeepSeek-V2.5 outperforms in 4 benchmarks (BBH, GSM8k, HumanEval, MATH), while Nova Lite is better at 1 benchmark (MMLU).
DeepSeek-V2.5 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-V2.5 ($0.14/1M tokens) is 2.3x more expensive than Nova Lite ($0.06/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.2x more expensive than Nova Lite ($0.24/1M tokens).
In conclusion, DeepSeek-V2.5 is more expensive than Nova Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Nova Lite accepts 300,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. DeepSeek-V2.5 can generate longer responses up to 8,192 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-V2.5 does not.
Nova Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
Nova Lite
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Nova Lite uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Nova Lite was released on 2024-11-20.
Nova Lite is 7 months newer than DeepSeek-V2.5.
May 8, 2024
2.3 years ago
Nov 20, 2024
1.8 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Nova Lite is available from Bedrock.
DeepSeek-V2.5
Nova Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and Nova Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs Nova Lite.