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DeepSeek-V3 0324 vs Nova 2 Pro

Nova 2 Pro leads the LLM Stats Score 30.8 to 13.4.

DeepSeek · Amazon · Updated for 2026

Which is better?

Nova 2 Pro leads the overall LLM Stats Score 30.8 to 13.4, ranking #130 overall.

In the 3 individual benchmarks reported for both models, Nova 2 Pro wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3 0324

  • you need open weights you can self-host or fine-tune

Choose Nova 2 Pro

  • overall performance matters — it scores 30.8 and ranks #130 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Core performance indexes
13.4
#261
30.8
#130
13.6
#250
30.7
#130
3.9
#227
19.1
#117
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.24 / M
— / M
Output price
$0.90 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3 0324
Nova 2 Pro
15.8#217
25.9#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 18 for Nova 2 Pro

3 shared

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Nova 2 Pro is better at 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro).

Nova 2 Pro significantly outperforms across most benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Amazon
Nova 2 Pro
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nova 2 Pro supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Nova 2 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3 0324

Text
Images
Audio
Video

Nova 2 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Nova 2 Pro uses a proprietary license.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Nova 2 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Nova 2 Pro was released on 2025-12-02.

Nova 2 Pro is 8 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

Nova 2 Pro

Dec 2, 2025

10 months ago

8mo 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Nova 2 Pro side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Nova 2 Pro
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs Nova 2 Pro.

Which is better, DeepSeek-V3 0324 or Nova 2 Pro?

Nova 2 Pro leads the LLM Stats Score 30.8 to 13.4. DeepSeek-V3 0324 is made by DeepSeek and Nova 2 Pro is made by Amazon. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 0324 compare to Nova 2 Pro in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Nova 2 Pro scores Tau2 Telecom: 92.7%, AIME 2025: 92.3%, ScreenSpot: 88.1%, LongCodeBench: 84.0%, MMLU-Pro: 81.6%.

What are the context window sizes for DeepSeek-V3 0324 and Nova 2 Pro?

DeepSeek-V3 0324 supports 164K tokens and Nova 2 Pro supports an unknown number of 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 0324 and Nova 2 Pro?

Key differences include LLM Stats Score (13.4 vs 30.8), 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 0324 and Nova 2 Pro?

DeepSeek-V3 0324 is developed by DeepSeek and Nova 2 Pro is developed by Amazon.