API cost decision in 10 seconds

Gemma 3 12B vs Qwen3 235B A22B Thinking 2507

Pick Gemma 3 12B for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 3 12B for lower cost; pick Qwen3 235B A22B Thinking 2507 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.79 (88.3% lower).

Cost-first pickGemma 3 12B
Context-first pickQwen3 235B A22B Thinking 2507
Sample savings$0.7988.3%
10x traffic gap$7.92

Qwen3 235B A22B Thinking 2507 has more context, but Gemma 3 12B saves $0.79 on the standard workload. At 10x that traffic, the same price gap is about $7.92. 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 pickGemma 3 12BQwen3 235B A22B Thinking 2507
Input-heavy / RAG5M input + 500K outputGemma 3 12B$0.27$1.5
Balanced workload1M input + 1M outputGemma 3 12B$0.17$1.64
Output-heavy chatbot1M input + 5M outputGemma 3 12B$0.69$7.62
Cheaper input Gemma 3 12B $0.04 vs $0.1495 / 1M

Gemma 3 12B is $0.11 cheaper per 1M input tokens (73.2% lower; 3.74x difference).

Cheaper output Gemma 3 12B $0.13 vs $1.495 / 1M

Gemma 3 12B is $1.37 cheaper per 1M output tokens (91.3% lower; 11.5x difference).

Larger context Qwen3 235B A22B Thinking 2507 131.07K vs 262.14K

Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).

Sample workload Gemma 3 12B $0.11 vs $0.9

Gemma 3 12B is $0.79 cheaper on the standard workload (88.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 3 12B Calculating… Estimated API cost
Qwen3 235B A22B Thinking 2507 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; Qwen3 235B A22B Thinking 2507 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 $0.9 for Qwen3 235B A22B Thinking 2507.

Best Fit

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

Choose Qwen3 235B A22B Thinking 2507 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.79 (88.3% lower).
  • Gemma 3 12B is $0.79 cheaper on the standard workload (88.3% lower).
  • Gemma 3 12B is $0.11 cheaper per 1M input tokens (73.2% lower; 3.74x difference).
  • Gemma 3 12B is $1.37 cheaper per 1M output tokens (91.3% lower; 11.5x difference).
  • Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureGemma 3 12B
(Google)
Qwen3 235B A22B Thinking 2507
(Qwen)
Input Price
prompt tokens per 1M
$0.04$0.1495
Completion Price
per 1M tokens
$0.13$1.495
Sample Workload Cost
1M input + 500K output
$0.11$0.9
Context Window131.07K262.14K
Release Date
Popularity#123#133

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 $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.79 (88.3% 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 workQwen3 235B A22B Thinking 2507A 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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Qwen 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,...

Qwen3 235B A22B Thinking 2507

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...