API cost decision in 10 seconds

Gemma 4 31B vs MiniMax M2.5 (free)

Pick MiniMax M2.5 (free) 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 MiniMax M2.5 (free) for lower cost; pick Gemma 4 31B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, MiniMax M2.5 (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).

Cost-first pickMiniMax M2.5 (free)
Context-first pickGemma 4 31B
Sample savings$0.3100%
10x traffic gap$3.05

Gemma 4 31B has more context, but MiniMax M2.5 (free) saves $0.3 on the standard workload. At 10x that traffic, the same price gap is about $3.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

MiniMax M2.5 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31BMiniMax M2.5 (free)
Input-heavy / RAG5M input + 500K outputMiniMax M2.5 (free)$0.78$0
Balanced workload1M input + 1M outputMiniMax M2.5 (free)$0.49$0
Output-heavy chatbot1M input + 5M outputMiniMax M2.5 (free)$1.97$0
Cheaper input MiniMax M2.5 (free) $0.12 vs $0 / 1M

MiniMax M2.5 (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.

Cheaper output MiniMax M2.5 (free) $0.37 vs $0 / 1M

MiniMax M2.5 (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.

Larger context Gemma 4 31B 262.14K vs 204.8K

Gemma 4 31B has 57.34K more context (1.28x larger).

Sample workload MiniMax M2.5 (free) $0.3 vs $0

MiniMax M2.5 (free) is free for the standard workload while the other model is estimated at $0.3.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B Calculating… Estimated API cost
MiniMax M2.5 (free) 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

MiniMax M2.5 (free) has the lower input price; MiniMax M2.5 (free) has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, MiniMax M2.5 (free) 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 for MiniMax M2.5 (free).

Best Fit

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

Choose MiniMax M2.5 (free) 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, MiniMax M2.5 (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
  • MiniMax M2.5 (free) is free for the standard workload while the other model is estimated at $0.3.
  • MiniMax M2.5 (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.
  • MiniMax M2.5 (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.
  • Gemma 4 31B has 57.34K more context (1.28x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
MiniMax M2.5 (free)
(MiniMax)
Input Price
prompt tokens per 1M
$0.12$0
Completion Price
per 1M tokens
$0.37$0
Sample Workload Cost
1M input + 500K output
$0.3$0
Context Window262.14K204.8K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMiniMax M2.5 (free)On the standard 1M input plus 500K output workload, MiniMax M2.5 (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
High-volume input processingMiniMax M2.5 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMiniMax M2.5 (free)Lower 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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MiniMax catalog

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