Model Comparison

Nova Pro vs DeepSeek-V3Which is better in 2026?

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 is 2.9x cheaper per token.

Verdict: Nova Pro vs DeepSeek-V3 — which is better?

Nova Pro (by Amazon) and DeepSeek-V3 (by DeepSeek) 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.

Nova Pro outperforms in 1 benchmarks (IFEval), while DeepSeek-V3 is better at 3 benchmarks (DROP, GPQA, MMLU). DeepSeek-V3 shows notably better performance in the majority of benchmarks.

On price, DeepSeek-V3 is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nova Pro also accepts a larger context window (300,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Nova Pro if…

  • you process long inputs — it offers a 300,000 token context window

Choose DeepSeek-V3 if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • cost matters — it's about 2.9x cheaper per token
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Nova Pro outperforms in 1 benchmarks (IFEval), while DeepSeek-V3 is better at 3 benchmarks (DROP, GPQA, MMLU).

DeepSeek-V3 shows notably better performance in the majority of benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, Nova Pro ($0.80/1M tokens) is 3.0x more expensive than DeepSeek-V3 ($0.27/1M tokens).

For output processing, Nova Pro ($3.20/1M tokens) is 2.9x more expensive than DeepSeek-V3 ($1.10/1M tokens).

In conclusion, Nova Pro is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Nova Pro accepts 300,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.

Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas DeepSeek-V3 does not.

Nova Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nova Pro

Text
Images
Audio
Video

DeepSeek-V3

Text
Images
Audio
Video

License

Usage and distribution terms

Nova Pro is licensed under a proprietary license, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

Nova Pro

Proprietary

Closed source

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

Nova Pro was released on 2024-11-20, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3 is 1 month newer than Nova Pro.

Nova Pro

Nov 20, 2024

1.6 years ago

DeepSeek-V3

Dec 25, 2024

1.5 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Nova Pro is available from Bedrock. DeepSeek-V3 is available from DeepSeek.

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher IFEval score (92.1% vs 86.1%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher DROP score (91.6% vs 85.4%)
Higher GPQA score (59.1% vs 46.9%)
Higher MMLU score (88.5% vs 85.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Amazon
Nova Pro
DeepSeek
DeepSeek-V3

FAQ

Common questions about Nova Pro vs DeepSeek-V3.

Which is better, Nova Pro or DeepSeek-V3?

DeepSeek-V3 shows notably better performance in the majority of benchmarks. Nova Pro is made by Amazon and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Nova Pro compare to DeepSeek-V3 in benchmarks?

Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

Is Nova Pro cheaper than DeepSeek-V3?

DeepSeek-V3 is 3.0x cheaper for input tokens. Nova Pro costs $0.80/M input and $3.20/M output via bedrock. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.

What are the context window sizes for Nova Pro and DeepSeek-V3?

Nova Pro supports 300K tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nova Pro and DeepSeek-V3?

Key differences include context window (300K vs 131K), input pricing ($0.80 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

Who makes Nova Pro and DeepSeek-V3?

Nova Pro is developed by Amazon and DeepSeek-V3 is developed by DeepSeek.

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