Model Comparison

DeepSeek-V2.5 vs Nova Micro

DeepSeek-V2.5 significantly outperforms across most benchmarks. Nova Micro is 3.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V2.5 outperforms in 5 benchmarks (BBH, GSM8k, HumanEval, MATH, MMLU), while Nova Micro is better at 0 benchmarks.

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nova Micro costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 4.7x more expensive than Nova Micro ($0.03/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 2.0x more expensive than Nova Micro ($0.14/1M tokens).

In conclusion, DeepSeek-V2.5 is more expensive than Nova Micro.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
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

Nova Micro accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Nova Micro can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Amazon
Nova Micro
Input128,000 tokens
Output128,000 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Nova Micro uses a proprietary license.

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

DeepSeek-V2.5

deepseek

Open weights

Nova Micro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Nova Micro was released on 2024-11-20.

Nova Micro is 7 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

Nova Micro

Nov 20, 2024

1.4 years ago

6mo 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

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Nova Micro is available from Bedrock.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

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

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Key Takeaways

DeepSeek
Has open weights
Higher BBH score (84.3% vs 79.5%)
Higher GSM8k score (95.1% vs 92.3%)
Higher HumanEval score (89.0% vs 81.1%)
Higher MATH score (74.7% vs 69.3%)
Higher MMLU score (80.4% vs 77.6%)
Amazon
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Amazon
Nova Micro

FAQ

Common questions about DeepSeek-V2.5 vs Nova Micro

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 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-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. 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 4.7x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Nova Micro costs $0.03/M input and $0.14/M output via bedrock.
DeepSeek-V2.5 supports 8K 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 (8K vs 128K), input pricing ($0.14 vs $0.03/M), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Nova Micro is developed by Amazon.