API cost decision in 10 seconds

Qwen3 VL 8B Instruct vs Gemma 3 12B

Pick Gemma 3 12B for lower cost; pick Qwen3 VL 8B Instruct 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 VL 8B Instruct 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 $0.33 for Qwen3 VL 8B Instruct, saving $0.23 (68.2% lower).

Cost-first pickGemma 3 12B
Context-first pickQwen3 VL 8B Instruct
Sample savings$0.2368.2%
10x traffic gap$2.25

Qwen3 VL 8B Instruct has more context, but Gemma 3 12B saves $0.23 on the standard workload. At 10x that traffic, the same price gap is about $2.25. 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 VL 8B InstructGemma 3 12B
Input-heavy / RAG5M input + 500K outputGemma 3 12B$0.65$0.27
Balanced workload1M input + 1M outputGemma 3 12B$0.58$0.17
Output-heavy chatbot1M input + 5M outputGemma 3 12B$2.58$0.69
Cheaper input Gemma 3 12B $0.08 vs $0.04 / 1M

Gemma 3 12B is $0.04 cheaper per 1M input tokens (50% lower; 2x difference).

Cheaper output Gemma 3 12B $0.5 vs $0.13 / 1M

Gemma 3 12B is $0.37 cheaper per 1M output tokens (74% lower; 3.85x difference).

Larger context Qwen3 VL 8B Instruct 256K vs 131.07K

Qwen3 VL 8B Instruct has 124.93K more context (1.95x larger).

Sample workload Gemma 3 12B $0.33 vs $0.11

Gemma 3 12B is $0.23 cheaper on the standard workload (68.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3 VL 8B Instruct 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; Qwen3 VL 8B Instruct 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 $0.33 for Qwen3 VL 8B Instruct and $0.11 for Gemma 3 12B.

Best Fit

Choose Qwen3 VL 8B Instruct when you care most about larger context window.

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 $0.33 for Qwen3 VL 8B Instruct, saving $0.23 (68.2% lower).
  • Gemma 3 12B is $0.23 cheaper on the standard workload (68.2% lower).
  • Gemma 3 12B is $0.04 cheaper per 1M input tokens (50% lower; 2x difference).
  • Gemma 3 12B is $0.37 cheaper per 1M output tokens (74% lower; 3.85x difference).
  • Qwen3 VL 8B Instruct has 124.93K more context (1.95x larger).
Head-to-Head Specs
FeatureQwen3 VL 8B Instruct
(Qwen)
Gemma 3 12B
(Google)
Input Price
prompt tokens per 1M
$0.08$0.04
Completion Price
per 1M tokens
$0.5$0.13
Sample Workload Cost
1M input + 500K output
$0.33$0.11
Context Window256K131.07K
Release Date
Popularity#108#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 $0.33 for Qwen3 VL 8B Instruct, saving $0.23 (68.2% 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 workQwen3 VL 8B InstructA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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

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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 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...

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,...