Model Comparison

DeepSeek-V3 vs Nova MicroWhich is better in 2026?

DeepSeek-V3 shows notably better performance in the majority of benchmarks. Nova Micro is 8.3x cheaper per token.

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

DeepSeek-V3 (by DeepSeek) and Nova Micro (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 Micro is better at 1 benchmark (IFEval). DeepSeek-V3 shows notably better performance in the majority of benchmarks.

On price, Nova Micro is roughly 8.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3 also accepts a larger context window (131,072 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
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Nova Micro if…

  • cost matters — it's about 8.3x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

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

Mon Jun 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nova Micro costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 9.0x more expensive than Nova Micro ($0.03/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 7.9x more expensive than Nova Micro ($0.14/1M tokens).

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

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Amazon
Nova Micro
Input tokens$0.03
Output tokens$0.14
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Nova Micro's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Nova Micro is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Amazon
Nova Micro
Input128,000 tokens
Output128,000 tokens
Mon Jun 08 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Nova Micro 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 Micro

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek-V3 is 1 month newer than Nova Micro.

DeepSeek-V3

Dec 25, 2024

1.5 years ago

1mo newer
Nova Micro

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 Micro is available from Bedrock.

DeepSeek-V3

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

Nova Micro

bedrock logo
AWS Bedrock
Input Price:Input: $0.03/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Has open weights
Higher DROP score (91.6% vs 79.3%)
Higher GPQA score (59.1% vs 40.0%)
Higher MMLU score (88.5% vs 77.6%)
Amazon
Less expensive input tokens
Less expensive output tokens
Higher IFEval score (87.2% vs 86.1%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek-V3 vs Nova Micro.

Which is better, DeepSeek-V3 or Nova Micro?

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 is made by DeepSeek and Nova Micro 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 Micro in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Nova Micro scores GSM8k: 92.3%, ARC-C: 90.2%, Translation Set1→en COMET22: 88.7%, Translation en→Set1 COMET22: 88.5%, IFEval: 87.2%.

Is DeepSeek-V3 cheaper than Nova Micro?

Nova Micro is 9.0x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Nova Micro costs $0.03/M input and $0.14/M output via bedrock.

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

DeepSeek-V3 supports 131K tokens and Nova Micro supports 128K 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 Micro?

Key differences include context window (131K vs 128K), input pricing ($0.27 vs $0.03/M), 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 Micro?

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

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