API cost decision in 10 seconds

Gemma 4 31B vs Trinity Mini

Pick Trinity Mini 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 Trinity Mini for lower cost; pick Gemma 4 31B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.3 for Gemma 4 31B, saving $0.18 (60.7% lower).

Cost-first pickTrinity Mini
Context-first pickGemma 4 31B
Sample savings$0.1860.7%
10x traffic gap$1.85

Gemma 4 31B has more context, but Trinity Mini saves $0.18 on the standard workload. At 10x that traffic, the same price gap is about $1.85. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Trinity Mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31BTrinity Mini
Input-heavy / RAG5M input + 500K outputTrinity Mini$0.78$0.3
Balanced workload1M input + 1M outputTrinity Mini$0.49$0.2
Output-heavy chatbot1M input + 5M outputTrinity Mini$1.97$0.8
Cheaper input Trinity Mini $0.12 vs $0.045 / 1M

Trinity Mini is $0.07 cheaper per 1M input tokens (62.5% lower; 2.67x difference).

Cheaper output Trinity Mini $0.37 vs $0.15 / 1M

Trinity Mini is $0.22 cheaper per 1M output tokens (59.5% lower; 2.47x difference).

Larger context Gemma 4 31B 262.14K vs 131.07K

Gemma 4 31B has 131.07K more context (2x larger).

Sample workload Trinity Mini $0.3 vs $0.12

Trinity Mini is $0.18 cheaper on the standard workload (60.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B Calculating… Estimated API cost
Trinity Mini 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

Trinity Mini has the lower input price; Trinity Mini has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, Trinity Mini 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 $0.12 for Trinity Mini.

Best Fit

Choose Gemma 4 31B when you care most about larger context window.

Choose Trinity Mini 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, Trinity Mini is estimated at $0.12 vs $0.3 for Gemma 4 31B, saving $0.18 (60.7% lower).
  • Trinity Mini is $0.18 cheaper on the standard workload (60.7% lower).
  • Trinity Mini is $0.07 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
  • Trinity Mini is $0.22 cheaper per 1M output tokens (59.5% lower; 2.47x difference).
  • Gemma 4 31B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
Trinity Mini
(Arcee AI)
Input Price
prompt tokens per 1M
$0.12$0.045
Completion Price
per 1M tokens
$0.37$0.15
Sample Workload Cost
1M input + 500K output
$0.3$0.12
Context Window262.14K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTrinity MiniOn the standard 1M input plus 500K output workload, Trinity Mini is estimated at $0.12 vs $0.3 for Gemma 4 31B, saving $0.18 (60.7% lower).
High-volume input processingTrinity MiniLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTrinity MiniLower 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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Arcee AI catalog

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Gemma 4 31B

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...

Trinity Mini

Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engineered for efficient reasoning over long contexts (131k) with robust function...