API cost decision in 10 seconds

Gemma 4 31B vs Nova Micro 1.0

Pick Nova Micro 1.0 for lower cost; pick Gemma 4 31B 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 Gemma 4 31B 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 $0.3 for Gemma 4 31B, saving $0.2 (65.6% lower).

Cost-first pickNova Micro 1.0
Context-first pickGemma 4 31B
Sample savings$0.265.6%
10x traffic gap$2

Gemma 4 31B has more context, but Nova Micro 1.0 saves $0.2 on the standard workload. At 10x that traffic, the same price gap is about $2. 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 pickGemma 4 31BNova Micro 1.0
Input-heavy / RAG5M input + 500K outputNova Micro 1.0$0.78$0.25
Balanced workload1M input + 1M outputNova Micro 1.0$0.49$0.18
Output-heavy chatbot1M input + 5M outputNova Micro 1.0$1.97$0.74
Cheaper input Nova Micro 1.0 $0.12 vs $0.035 / 1M

Nova Micro 1.0 is $0.08 cheaper per 1M input tokens (70.8% lower; 3.43x difference).

Cheaper output Nova Micro 1.0 $0.37 vs $0.14 / 1M

Nova Micro 1.0 is $0.23 cheaper per 1M output tokens (62.2% lower; 2.64x difference).

Larger context Gemma 4 31B 262.14K vs 128K

Gemma 4 31B has 134.14K more context (2.05x larger).

Sample workload Nova Micro 1.0 $0.3 vs $0.11

Nova Micro 1.0 is $0.2 cheaper on the standard workload (65.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B 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; Gemma 4 31B 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 $0.3 for Gemma 4 31B and $0.11 for Nova Micro 1.0.

Best Fit

Choose Gemma 4 31B 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 $0.3 for Gemma 4 31B, saving $0.2 (65.6% lower).
  • Nova Micro 1.0 is $0.2 cheaper on the standard workload (65.6% lower).
  • Nova Micro 1.0 is $0.08 cheaper per 1M input tokens (70.8% lower; 3.43x difference).
  • Nova Micro 1.0 is $0.23 cheaper per 1M output tokens (62.2% lower; 2.64x difference).
  • Gemma 4 31B has 134.14K more context (2.05x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
Nova Micro 1.0
(Amazon)
Input Price
prompt tokens per 1M
$0.12$0.035
Completion Price
per 1M tokens
$0.37$0.14
Sample Workload Cost
1M input + 500K output
$0.3$0.11
Context Window262.14K128K
Release Date
Popularity#27#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 $0.3 for Gemma 4 31B, saving $0.2 (65.6% 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 workGemma 4 31BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Google catalog

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Amazon catalog

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