API cost decision in 10 seconds

Gemma 4 26B A4B vs Ministral 3 14B 2512

Pick Gemma 4 26B A4B when budget is the priority.

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

Budget verdict

Pick Gemma 4 26B A4B when budget is the priority.

On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.3 for Ministral 3 14B 2512, saving $0.08 (25% lower).

Cost-first pickGemma 4 26B A4B
Context-first pickBoth models
Sample savings$0.0825%
10x traffic gap$0.75

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Gemma 4 26B A4B, balanced workload favors Gemma 4 26B A4B, and output-heavy chatbot favors Ministral 3 14B 2512.

Workload shapeToken mixBetter pickGemma 4 26B A4BMinistral 3 14B 2512
Input-heavy / RAG5M input + 500K outputGemma 4 26B A4B$0.46$1.1
Balanced workload1M input + 1M outputGemma 4 26B A4B$0.39$0.4
Output-heavy chatbot1M input + 5M outputMinistral 3 14B 2512$1.71$1.2
Cheaper input Gemma 4 26B A4B $0.06 vs $0.2 / 1M

Gemma 4 26B A4B is $0.14 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output Ministral 3 14B 2512 $0.33 vs $0.2 / 1M

Ministral 3 14B 2512 is $0.13 cheaper per 1M output tokens (39.4% lower; 1.65x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Gemma 4 26B A4B $0.23 vs $0.3

Gemma 4 26B A4B is $0.08 cheaper on the standard workload (25% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 26B A4B Calculating… Estimated API cost
Ministral 3 14B 2512 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 26B A4B has the lower input price; Ministral 3 14B 2512 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemma 4 26B A4B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.23 for Gemma 4 26B A4B and $0.3 for Ministral 3 14B 2512.

Best Fit

Choose Gemma 4 26B A4B when you care most about lower input-token price.

Choose Ministral 3 14B 2512 when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.3 for Ministral 3 14B 2512, saving $0.08 (25% lower).
  • Gemma 4 26B A4B is $0.08 cheaper on the standard workload (25% lower).
  • Gemma 4 26B A4B is $0.14 cheaper per 1M input tokens (70% lower; 3.33x difference).
  • Ministral 3 14B 2512 is $0.13 cheaper per 1M output tokens (39.4% lower; 1.65x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
FeatureGemma 4 26B A4B
(Google)
Ministral 3 14B 2512
(Mistral)
Input Price
prompt tokens per 1M
$0.06$0.2
Completion Price
per 1M tokens
$0.33$0.2
Sample Workload Cost
1M input + 500K output
$0.23$0.3
Context Window262.14K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 26B A4BOn the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.3 for Ministral 3 14B 2512, saving $0.08 (25% lower).
High-volume input processingGemma 4 26B A4BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMinistral 3 14B 2512Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Cheaper alternatives

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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

Mistral catalog

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

Open Mistral models
Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...