API cost decision in 10 seconds

🔥MiniMax M2.7 vs 🔥Gemma 4 31B

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

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

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

On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.88 for MiniMax M2.7, saving $0.57 (65.3% lower).

Cost-first pickGemma 4 31B
Context-first pickGemma 4 31B
Sample savings$0.5765.3%
10x traffic gap$5.74

Gemma 4 31B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $5.74. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Gemma 4 31B $0.279 vs $0.12 / 1M

Gemma 4 31B is $0.16 cheaper per 1M input tokens (57% lower; 2.33x difference).

Cheaper output Gemma 4 31B $1.2 vs $0.37 / 1M

Gemma 4 31B is $0.83 cheaper per 1M output tokens (69.2% lower; 3.24x difference).

Larger context Gemma 4 31B 204.8K vs 262.14K

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

Sample workload Gemma 4 31B $0.88 vs $0.3

Gemma 4 31B is $0.57 cheaper on the standard workload (65.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiniMax M2.7 Calculating… Estimated API cost
Gemma 4 31B 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 has the lower input price; Gemma 4 31B has the lower output price; Gemma 4 31B offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.88 for MiniMax M2.7 and $0.3 for Gemma 4 31B.

Best Fit

Choose MiniMax M2.7 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.88 for MiniMax M2.7, saving $0.57 (65.3% lower).
  • Gemma 4 31B is $0.57 cheaper on the standard workload (65.3% lower).
  • Gemma 4 31B is $0.16 cheaper per 1M input tokens (57% lower; 2.33x difference).
  • Gemma 4 31B is $0.83 cheaper per 1M output tokens (69.2% lower; 3.24x difference).
  • Gemma 4 31B has 57.34K more context (1.28x larger).
Head-to-Head Specs
Feature🔥MiniMax M2.7
(MiniMax)
🔥Gemma 4 31B
(Google)
Input Price
prompt tokens per 1M
$0.279$0.12
Completion Price
per 1M tokens
$1.2$0.37
Sample Workload Cost
1M input + 500K output
$0.88$0.3
Context Window204.8K262.14K
Release Date
Popularity Rank
current rank
#10#18

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 4 31BOn the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.88 for MiniMax M2.7, saving $0.57 (65.3% lower).
High-volume input processingGemma 4 31BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 4 31BLower 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.

Related Alternatives

Same-provider lower-cost swaps
  • MiniMax M2.5 (free) can replace MiniMax M2.7 when lower sample workload cost matters most: $0.
  • MiniMax M2.5 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.72.
  • MiniMax-01 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.75.
  • MiniMax M2 can replace MiniMax M2.7 when lower sample workload cost matters most: $0.76.
Larger context near this budget

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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MiniMax catalog

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Google catalog

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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...