API cost decision in 10 seconds

🔥DeepSeek V3.2 vs Gemma 3 12B

Pick Gemma 3 12B when budget is the priority.

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 is the priority.

On the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $0.44 for DeepSeek V3.2, saving $0.34 (76.2% lower).

Cost-first pickGemma 3 12B
Context-first pickBoth models
Sample savings$0.3476.2%
10x traffic gap$3.36

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $3.36. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 3 12B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.2Gemma 3 12B
Input-heavy / RAG5M input + 500K outputGemma 3 12B$1.45$0.27
Balanced workload1M input + 1M outputGemma 3 12B$0.63$0.17
Output-heavy chatbot1M input + 5M outputGemma 3 12B$2.14$0.69
Cheaper input Gemma 3 12B $0.252 vs $0.04 / 1M

Gemma 3 12B is $0.21 cheaper per 1M input tokens (84.1% lower; 6.3x difference).

Cheaper output Gemma 3 12B $0.378 vs $0.13 / 1M

Gemma 3 12B is $0.25 cheaper per 1M output tokens (65.6% lower; 2.91x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Gemma 3 12B $0.44 vs $0.11

Gemma 3 12B is $0.34 cheaper on the standard workload (76.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Gemma 3 12B 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; Gemma 3 12B has the lower output price; both models report the same 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 $0.44 for DeepSeek V3.2 and $0.11 for Gemma 3 12B.

Best Fit

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

Choose Gemma 3 12B 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, Gemma 3 12B is estimated at $0.11 vs $0.44 for DeepSeek V3.2, saving $0.34 (76.2% lower).
  • Gemma 3 12B is $0.34 cheaper on the standard workload (76.2% lower).
  • Gemma 3 12B is $0.21 cheaper per 1M input tokens (84.1% lower; 6.3x difference).
  • Gemma 3 12B is $0.25 cheaper per 1M output tokens (65.6% lower; 2.91x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
Gemma 3 12B
(Google)
Input Price
prompt tokens per 1M
$0.252$0.04
Completion Price
per 1M tokens
$0.378$0.13
Sample Workload Cost
1M input + 500K output
$0.44$0.11
Context Window131.07K131.07K
Release Date
Popularity#8#123

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 $0.44 for DeepSeek V3.2, saving $0.34 (76.2% lower).
High-volume input processingGemma 3 12BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 3 12BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

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DeepSeek catalog

Review all tracked DeepSeek models before deciding whether this matchup is the right shortlist.

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Google catalog

Check other Google models with comparable pricing, context, or release timing.

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DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

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,...