Model Comparison

DeepSeek-V3 vs Nova ProWhich is better in 2026?

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

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

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

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

Choose Nova Pro if…

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

Comparative analysis across standard metrics

4 benchmarks

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

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

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

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

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.9x cheaper than Nova Pro ($3.20/1M 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
Sun Jun 07 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
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.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Sun Jun 07 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.

DeepSeek-V3

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek-V3 is 1 month newer than Nova Pro.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

1mo newer
Nova Pro

Nov 20, 2024

1.5 years ago

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

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

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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%)
Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher IFEval score (92.1% vs 86.1%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek-V3 vs Nova Pro.

Which is better, DeepSeek-V3 or Nova Pro?

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

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

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

Is DeepSeek-V3 cheaper than Nova Pro?

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

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

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

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

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

Who makes DeepSeek-V3 and Nova Pro?

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

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