API cost decision in 10 seconds

Gemma 4 31B (free) vs 🔥MiniMax M2.7

Pick Gemma 4 31B (free) 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 (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 $0.88 for MiniMax M2.7, saving $0.88 (100% lower).

Cost-first pickGemma 4 31B (free)
Context-first pickGemma 4 31B (free)
Sample savings$0.88100%
10x traffic gap$8.79

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 $8.79. 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)MiniMax M2.7
Input-heavy / RAG 5M input + 500K output Gemma 4 31B (free) $0 $2
Balanced workload 1M input + 1M output Gemma 4 31B (free) $0 $1.48
Output-heavy chatbot 1M input + 5M output Gemma 4 31B (free) $0 $6.28
Cheaper inputGemma 4 31B (free)$0 vs $0.28 / 1M
Cheaper outputGemma 4 31B (free)$0 vs $1.2 / 1M
Larger contextGemma 4 31B (free)262.14K vs 204.8K
Sample workloadGemma 4 31B (free)$0 vs $0.88

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B (free)Calculating…Estimated API cost
MiniMax M2.7Calculating…Estimated API cost
Cheaper for this workloadCalculating…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, and Gemma 4 31B (free) offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Gemma 4 31B (free) and $0.88 for MiniMax M2.7.

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

Head-to-Head Specs
FeatureGemma 4 31B (free)
(Google)		🔥MiniMax M2.7
(MiniMax)
Input Price
prompt tokens per 1M		$0$0.28
Completion Price
per 1M tokens		$0$1.2
Sample Workload Cost
1M input + 500K output		$0$0.88
Context Window262.14K204.8K
Release Date2026-04-022026-03-18
Popularity#14
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...

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

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 $0.88 for MiniMax M2.7, saving $0.88 (100% lower).
High-volume input processingGemma 4 31B (free)Lower prompt-token price matters most when prompts or retrieved passages 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 and source files.