Model Comparison

DeepSeek-V3 vs Nova Micro

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

Thu Apr 16 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
Thu Apr 16 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
Thu Apr 16 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

1.3 years ago

1mo newer
Nova Micro

Nov 20, 2024

1.4 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

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