API cost decision in 10 seconds

Gemma 4 26B A4B vs Qwen3 32B

Pick Qwen3 32B for lower cost; pick Gemma 4 26B A4B only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T20:08:05Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 32B for lower cost; pick Gemma 4 26B A4B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $0.23 for Gemma 4 26B A4B, saving $0.005 (2.2% lower).

Cost-first pickQwen3 32B

Context-first pickGemma 4 26B A4B

Sample savings$0.0052.2%

10x traffic gap$0.05

Gemma 4 26B A4B has more context, but Qwen3 32B saves $0.005 on the standard workload. At 10x that traffic, the same price gap is about $0.05. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Gemma 4 26B A4B, balanced workload favors Qwen3 32B, and output-heavy chatbot favors Qwen3 32B.

Workload shape	Token mix	Better pick	Gemma 4 26B A4B	Qwen3 32B
Input-heavy / RAG	5M input + 500K output	Gemma 4 26B A4B	$0.46	$0.54
Balanced workload	1M input + 1M output	Qwen3 32B	$0.39	$0.36
Output-heavy chatbot	1M input + 5M output	Qwen3 32B	$1.71	$1.48

Cheaper input Gemma 4 26B A4B $0.06 vs $0.08 / 1M

Gemma 4 26B A4B is $0.02 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Qwen3 32B $0.33 vs $0.28 / 1M

Qwen3 32B is $0.05 cheaper per 1M output tokens (15.2% lower; 1.18x difference).

Larger context Gemma 4 26B A4B 262.14K vs 131.07K

Gemma 4 26B A4B has 131.07K more context (2x larger).

Sample workload Qwen3 32B $0.23 vs $0.22

Qwen3 32B is $0.005 cheaper on the standard workload (2.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemma 4 26B A4B Calculating… Estimated API cost

Qwen3 32B 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 4 26B A4B has the lower input price; Qwen3 32B has the lower output price; Gemma 4 26B A4B offers the larger context window. For the 1M input plus 500K output sample, Qwen3 32B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.23 for Gemma 4 26B A4B and $0.22 for Qwen3 32B.

Best Fit

Choose Gemma 4 26B A4B when you care most about lower input-token price, and larger context window.

Choose Qwen3 32B when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $0.23 for Gemma 4 26B A4B, saving $0.005 (2.2% lower).
Qwen3 32B is $0.005 cheaper on the standard workload (2.2% lower).
Gemma 4 26B A4B is $0.02 cheaper per 1M input tokens (25% lower; 1.33x difference).
Qwen3 32B is $0.05 cheaper per 1M output tokens (15.2% lower; 1.18x difference).
Gemma 4 26B A4B has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	Gemma 4 26B A4B (Google)	Qwen3 32B (Qwen)
Input Price prompt tokens per 1M	$0.06	$0.08
Completion Price per 1M tokens	$0.33	$0.28
Sample Workload Cost 1M input + 500K output	$0.23	$0.22
Context Window	262.14K	131.07K
Release Date	2026-04-03	2025-04-28
Popularity	#30	#93

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Qwen3 32B	On the standard 1M input plus 500K output workload, Qwen3 32B is estimated at $0.22 vs $0.23 for Gemma 4 26B A4B, saving $0.005 (2.2% lower).
High-volume input processing	Gemma 4 26B A4B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Qwen3 32B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemma 4 26B A4B	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 31B (free) can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.
Gemma 4 26B A4B (free) can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemma 4 26B A4B when lower sample workload cost matters most: $0.

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.
MiMo-V2.5 offers 1.05M context with $0.28 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

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

Google catalog

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

Open Google models

Qwen catalog

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

Open Qwen models

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

Qwen3 32B

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...