API cost decision in 10 seconds

Gemma 4 31B vs DeepSeek V3.2 Exp

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

Page updated:  Data confirmed:  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 $0.47 for DeepSeek V3.2 Exp, saving $0.17 (35.8% lower).

Cost-first pickGemma 4 31B
Context-first pickGemma 4 31B
Sample savings$0.1735.8%
10x traffic gap$1.7

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 $1.7. 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 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31BDeepSeek V3.2 Exp
Input-heavy / RAG5M input + 500K outputGemma 4 31B$0.78$1.56
Balanced workload1M input + 1M outputGemma 4 31B$0.49$0.68
Output-heavy chatbot1M input + 5M outputGemma 4 31B$1.97$2.32
Cheaper input Gemma 4 31B $0.12 vs $0.27 / 1M

Gemma 4 31B is $0.15 cheaper per 1M input tokens (55.6% lower; 2.25x difference).

Cheaper output Gemma 4 31B $0.37 vs $0.41 / 1M

Gemma 4 31B is $0.04 cheaper per 1M output tokens (9.8% lower; 1.11x difference).

Larger context Gemma 4 31B 262.14K vs 163.84K

Gemma 4 31B has 98.3K more context (1.6x larger).

Sample workload Gemma 4 31B $0.3 vs $0.47

Gemma 4 31B is $0.17 cheaper on the standard workload (35.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B Calculating… Estimated API cost
DeepSeek V3.2 Exp 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 $0.3 for Gemma 4 31B and $0.47 for DeepSeek V3.2 Exp.

Best Fit

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

Choose DeepSeek V3.2 Exp when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 4 31B is estimated at $0.3 vs $0.47 for DeepSeek V3.2 Exp, saving $0.17 (35.8% lower).
  • Gemma 4 31B is $0.17 cheaper on the standard workload (35.8% lower).
  • Gemma 4 31B is $0.15 cheaper per 1M input tokens (55.6% lower; 2.25x difference).
  • Gemma 4 31B is $0.04 cheaper per 1M output tokens (9.8% lower; 1.11x difference).
  • Gemma 4 31B has 98.3K more context (1.6x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
DeepSeek V3.2 Exp
(DeepSeek)
Input Price
prompt tokens per 1M
$0.12$0.27
Completion Price
per 1M tokens
$0.37$0.41
Sample Workload Cost
1M input + 500K output
$0.3$0.47
Context Window262.14K163.84K
Release Date
Popularity#27#98

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 $0.47 for DeepSeek V3.2 Exp, saving $0.17 (35.8% 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.

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Google catalog

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DeepSeek catalog

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