API cost decision in 10 seconds

🔥DeepSeek V3.2 vs Nova Micro 1.0

Pick Nova Micro 1.0 for lower cost; pick DeepSeek V3.2 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nova Micro 1.0 for lower cost; pick DeepSeek V3.2 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nova Micro 1.0 is estimated at $0.11 vs $0.44 for DeepSeek V3.2, saving $0.34 (76.2% lower).

Cost-first pickNova Micro 1.0
Context-first pickDeepSeek V3.2
Sample savings$0.3476.2%
10x traffic gap$3.36

DeepSeek V3.2 has more context, but Nova Micro 1.0 saves $0.34 on the standard workload. At 10x that traffic, the same price gap is about $3.36. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nova Micro 1.0 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.2Nova Micro 1.0
Input-heavy / RAG5M input + 500K outputNova Micro 1.0$1.45$0.25
Balanced workload1M input + 1M outputNova Micro 1.0$0.63$0.18
Output-heavy chatbot1M input + 5M outputNova Micro 1.0$2.14$0.74
Cheaper input Nova Micro 1.0 $0.252 vs $0.035 / 1M

Nova Micro 1.0 is $0.22 cheaper per 1M input tokens (86.1% lower; 7.2x difference).

Cheaper output Nova Micro 1.0 $0.378 vs $0.14 / 1M

Nova Micro 1.0 is $0.24 cheaper per 1M output tokens (63% lower; 2.7x difference).

Larger context DeepSeek V3.2 131.07K vs 128K

DeepSeek V3.2 has 3.07K more context (1.02x larger).

Sample workload Nova Micro 1.0 $0.44 vs $0.11

Nova Micro 1.0 is $0.34 cheaper on the standard workload (76.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Nova Micro 1.0 Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nova Micro 1.0 has the lower input price; Nova Micro 1.0 has the lower output price; DeepSeek V3.2 offers the larger context window. For the 1M input plus 500K output sample, Nova Micro 1.0 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $0.11 for Nova Micro 1.0.

Best Fit

Choose DeepSeek V3.2 when you care most about larger context window.

Choose Nova Micro 1.0 when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nova Micro 1.0 is estimated at $0.11 vs $0.44 for DeepSeek V3.2, saving $0.34 (76.2% lower).
  • Nova Micro 1.0 is $0.34 cheaper on the standard workload (76.2% lower).
  • Nova Micro 1.0 is $0.22 cheaper per 1M input tokens (86.1% lower; 7.2x difference).
  • Nova Micro 1.0 is $0.24 cheaper per 1M output tokens (63% lower; 2.7x difference).
  • DeepSeek V3.2 has 3.07K more context (1.02x larger).
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
Nova Micro 1.0
(Amazon)
Input Price
prompt tokens per 1M
$0.252$0.035
Completion Price
per 1M tokens
$0.378$0.14
Sample Workload Cost
1M input + 500K output
$0.44$0.11
Context Window131.07K128K
Release Date
Popularity#8#146

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNova Micro 1.0On the standard 1M input plus 500K output workload, Nova Micro 1.0 is estimated at $0.11 vs $0.44 for DeepSeek V3.2, saving $0.34 (76.2% lower).
High-volume input processingNova Micro 1.0Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNova Micro 1.0Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V3.2A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

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DeepSeek catalog

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Amazon catalog

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DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Nova Micro 1.0

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...