API cost decision in 10 seconds

Qwen3.5-9B vs Gemma 3 12B

Pick Gemma 3 12B for lower cost; pick Qwen3.5-9B 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 Qwen3.5-9B 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 $0.11 for Qwen3.5-9B, saving $0.01 (8.7% lower).

Cost-first pickGemma 3 12B
Context-first pickQwen3.5-9B
Sample savings$0.018.7%
10x traffic gap$0.1

Qwen3.5-9B has more context, but Gemma 3 12B saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.1. 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 pickQwen3.5-9BGemma 3 12B
Input-heavy / RAG5M input + 500K outputGemma 3 12B$0.28$0.27
Balanced workload1M input + 1M outputGemma 3 12B$0.19$0.17
Output-heavy chatbot1M input + 5M outputGemma 3 12B$0.79$0.69
Cheaper input Tie $0.04 vs $0.04 / 1M

Both models report the same input price at $0.04 per 1M tokens.

Cheaper output Gemma 3 12B $0.15 vs $0.13 / 1M

Gemma 3 12B is $0.02 cheaper per 1M output tokens (13.3% lower; 1.15x difference).

Larger context Qwen3.5-9B 262.14K vs 131.07K

Qwen3.5-9B has 131.07K more context (2x larger).

Sample workload Gemma 3 12B $0.11 vs $0.11

Gemma 3 12B is $0.01 cheaper on the standard workload (8.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.5-9B 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

both models tie on input price; Gemma 3 12B has the lower output price; Qwen3.5-9B 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 Qwen3.5-9B and $0.11 for Gemma 3 12B.

Best Fit

Choose Qwen3.5-9B when you care most about larger context window.

Choose Gemma 3 12B 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 $0.11 for Qwen3.5-9B, saving $0.01 (8.7% lower).
  • Gemma 3 12B is $0.01 cheaper on the standard workload (8.7% lower).
  • Both models report the same input price at $0.04 per 1M tokens.
  • Gemma 3 12B is $0.02 cheaper per 1M output tokens (13.3% lower; 1.15x difference).
  • Qwen3.5-9B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureQwen3.5-9B
(Qwen)
Gemma 3 12B
(Google)
Input Price
prompt tokens per 1M
$0.04$0.04
Completion Price
per 1M tokens
$0.15$0.13
Sample Workload Cost
1M input + 500K output
$0.11$0.11
Context Window262.14K131.07K
Release Date
Popularity#61#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 $0.11 for Qwen3.5-9B, saving $0.01 (8.7% lower).
High-volume input processingTieLower 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 workQwen3.5-9BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Qwen catalog

Review all tracked Qwen 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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Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

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,...