API cost decision in 10 seconds

Qwen3.5 397B A17B vs Gemma 3 12B

Pick Gemma 3 12B for lower cost; pick Qwen3.5 397B A17B only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z 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 397B A17B 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 $1.56 for Qwen3.5 397B A17B, saving $1.46 (93.3% lower).

Cost-first pickGemma 3 12B

Context-first pickQwen3.5 397B A17B

Sample savings$1.4693.3%

10x traffic gap$14.55

Qwen3.5 397B A17B has more context, but Gemma 3 12B saves $1.46 on the standard workload. At 10x that traffic, the same price gap is about $14.55. 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 shape	Token mix	Better pick	Qwen3.5 397B A17B	Gemma 3 12B
Input-heavy / RAG	5M input + 500K output	Gemma 3 12B	$3.12	$0.27
Balanced workload	1M input + 1M output	Gemma 3 12B	$2.73	$0.17
Output-heavy chatbot	1M input + 5M output	Gemma 3 12B	$12.09	$0.69

Cheaper input Gemma 3 12B $0.39 vs $0.04 / 1M

Gemma 3 12B is $0.35 cheaper per 1M input tokens (89.7% lower; 9.75x difference).

Cheaper output Gemma 3 12B $2.34 vs $0.13 / 1M

Gemma 3 12B is $2.21 cheaper per 1M output tokens (94.4% lower; 18x difference).

Larger context Qwen3.5 397B A17B 262.14K vs 131.07K

Qwen3.5 397B A17B has 131.07K more context (2x larger).

Sample workload Gemma 3 12B $1.56 vs $0.11

Gemma 3 12B is $1.46 cheaper on the standard workload (93.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Qwen3.5 397B A17B 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; Qwen3.5 397B A17B 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 $1.56 for Qwen3.5 397B A17B and $0.11 for Gemma 3 12B.

Best Fit

Choose Qwen3.5 397B A17B 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 $1.56 for Qwen3.5 397B A17B, saving $1.46 (93.3% lower).
Gemma 3 12B is $1.46 cheaper on the standard workload (93.3% lower).
Gemma 3 12B is $0.35 cheaper per 1M input tokens (89.7% lower; 9.75x difference).
Gemma 3 12B is $2.21 cheaper per 1M output tokens (94.4% lower; 18x difference).
Qwen3.5 397B A17B has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	Qwen3.5 397B A17B (Qwen)	Gemma 3 12B (Google)
Input Price prompt tokens per 1M	$0.39	$0.04
Completion Price per 1M tokens	$2.34	$0.13
Sample Workload Cost 1M input + 500K output	$1.56	$0.11
Context Window	262.14K	131.07K
Release Date	2026-02-16	2025-03-13
Popularity	#53	#123

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 3 12B	On the standard 1M input plus 500K output workload, Gemma 3 12B is estimated at $0.11 vs $1.56 for Qwen3.5 397B A17B, saving $1.46 (93.3% lower).
High-volume input processing	Gemma 3 12B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Gemma 3 12B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3.5 397B A17B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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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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Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

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,...