API cost decision in 10 seconds

Gemma 4 31B (free) vs Nova Micro 1.0

Pick Gemma 4 31B (free) when budget and context both matter.

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

Budget verdict

Pick Gemma 4 31B (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $0.11 for Nova Micro 1.0, saving $0.11 (100% lower).

Cost-first pickGemma 4 31B (free)
Context-first pickGemma 4 31B (free)
Sample savings$0.11100%
10x traffic gap$1.05

Gemma 4 31B (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31B (free)Nova Micro 1.0
Input-heavy / RAG5M input + 500K outputGemma 4 31B (free)$0$0.25
Balanced workload1M input + 1M outputGemma 4 31B (free)$0$0.18
Output-heavy chatbot1M input + 5M outputGemma 4 31B (free)$0$0.74
Cheaper input Gemma 4 31B (free) $0 vs $0.035 / 1M

Gemma 4 31B (free) is free for input tokens while Nova Micro 1.0 costs $0.04 per 1M tokens.

Cheaper output Gemma 4 31B (free) $0 vs $0.14 / 1M

Gemma 4 31B (free) is free for output tokens while Nova Micro 1.0 costs $0.14 per 1M tokens.

Larger context Gemma 4 31B (free) 262.14K vs 128K

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

Sample workload Gemma 4 31B (free) $0 vs $0.11

Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $0.11.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B (free) 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

Gemma 4 31B (free) has the lower input price; Gemma 4 31B (free) has the lower output price; Gemma 4 31B (free) offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Gemma 4 31B (free) and $0.11 for Nova Micro 1.0.

Best Fit

Choose Gemma 4 31B (free) when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Nova Micro 1.0 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $0.11 for Nova Micro 1.0, saving $0.11 (100% lower).
  • Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $0.11.
  • Gemma 4 31B (free) is free for input tokens while Nova Micro 1.0 costs $0.04 per 1M tokens.
  • Gemma 4 31B (free) is free for output tokens while Nova Micro 1.0 costs $0.14 per 1M tokens.
  • Gemma 4 31B (free) has 134.14K more context (2.05x larger).
Head-to-Head Specs
FeatureGemma 4 31B (free)
(Google)
Nova Micro 1.0
(Amazon)
Input Price
prompt tokens per 1M
$0$0.035
Completion Price
per 1M tokens
$0$0.14
Sample Workload Cost
1M input + 500K output
$0$0.11
Context Window262.14K128K
Release Date
Popularity#105#146

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31B (free)On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $0.11 for Nova Micro 1.0, saving $0.11 (100% lower).
High-volume input processingGemma 4 31B (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 31B (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 4 31B (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

Open Google models

Amazon catalog

Check other Amazon models with comparable pricing, context, or release timing.

Open Amazon models
Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

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...