API cost decision in 10 seconds

Gemma 3 12B vs GLM 4 32B

Pick Gemma 3 12B 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 3 12B when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $0.15 for GLM 4 32B, saving $0.05 (30% lower).

Cost-first pickGemma 3 12B
Context-first pickGemma 3 12B
Sample savings$0.0530%
10x traffic gap$0.45

Gemma 3 12B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.45. 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 3 12B, balanced workload favors Gemma 3 12B, and output-heavy chatbot favors GLM 4 32B.

Workload shapeToken mixBetter pickGemma 3 12BGLM 4 32B
Input-heavy / RAG5M input + 500K outputGemma 3 12B$0.27$0.55
Balanced workload1M input + 1M outputGemma 3 12B$0.17$0.2
Output-heavy chatbot1M input + 5M outputGLM 4 32B$0.69$0.6
Cheaper input Gemma 3 12B $0.04 vs $0.1 / 1M

Gemma 3 12B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output GLM 4 32B $0.13 vs $0.1 / 1M

GLM 4 32B is $0.03 cheaper per 1M output tokens (23.1% lower; 1.3x difference).

Larger context Gemma 3 12B 131.07K vs 128K

Gemma 3 12B has 3.07K more context (1.02x larger).

Sample workload Gemma 3 12B $0.11 vs $0.15

Gemma 3 12B is $0.05 cheaper on the standard workload (30% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 3 12B Calculating… Estimated API cost
GLM 4 32B 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 3 12B has the lower input price; GLM 4 32B has the lower output price; Gemma 3 12B offers the larger context window. For the 1M input plus 500K output sample, Gemma 3 12B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.11 for Gemma 3 12B and $0.15 for GLM 4 32B.

Best Fit

Choose Gemma 3 12B when you care most about lower input-token price, and larger context window.

Choose GLM 4 32B when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $0.15 for GLM 4 32B, saving $0.05 (30% lower).
  • Gemma 3 12B is $0.05 cheaper on the standard workload (30% lower).
  • Gemma 3 12B is $0.06 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • GLM 4 32B is $0.03 cheaper per 1M output tokens (23.1% lower; 1.3x difference).
  • Gemma 3 12B has 3.07K more context (1.02x larger).
Head-to-Head Specs
FeatureGemma 3 12B
(Google)
GLM 4 32B
(Z.ai)
Input Price
prompt tokens per 1M
$0.04$0.1
Completion Price
per 1M tokens
$0.13$0.1
Sample Workload Cost
1M input + 500K output
$0.11$0.15
Context Window131.07K128K
Release Date
Popularity#123#147

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 3 12BOn the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $0.15 for GLM 4 32B, saving $0.05 (30% lower).
High-volume input processingGemma 3 12BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4 32BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 3 12BA 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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Z.ai catalog

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Gemma 3 12B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

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