API cost decision in 10 seconds

Gemma 4 26B A4B vs Qwen3 8B

Pick Gemma 4 26B A4B when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 26B A4B when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.25 for Qwen3 8B, saving $0.02 (10% lower).

Cost-first pickGemma 4 26B A4B

Context-first pickGemma 4 26B A4B

Sample savings$0.0210%

10x traffic gap$0.25

Gemma 4 26B A4B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.25. 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 Qwen3 8B, balanced workload favors Gemma 4 26B A4B, and output-heavy chatbot favors Gemma 4 26B A4B.

Workload shape	Token mix	Better pick	Gemma 4 26B A4B	Qwen3 8B
Input-heavy / RAG	5M input + 500K output	Qwen3 8B	$0.46	$0.45
Balanced workload	1M input + 1M output	Gemma 4 26B A4B	$0.39	$0.45
Output-heavy chatbot	1M input + 5M output	Gemma 4 26B A4B	$1.71	$2.05

Cheaper input Qwen3 8B $0.06 vs $0.05 / 1M

Qwen3 8B is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).

Cheaper output Gemma 4 26B A4B $0.33 vs $0.4 / 1M

Gemma 4 26B A4B is $0.07 cheaper per 1M output tokens (17.5% lower; 1.21x 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 Gemma 4 26B A4B $0.23 vs $0.25

Gemma 4 26B A4B is $0.02 cheaper on the standard workload (10% 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 8B 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

Qwen3 8B has the lower input price; Gemma 4 26B A4B has the lower output price; Gemma 4 26B A4B offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 26B A4B 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 $0.25 for Qwen3 8B.

Best Fit

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

Choose Qwen3 8B when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.25 for Qwen3 8B, saving $0.02 (10% lower).
Gemma 4 26B A4B is $0.02 cheaper on the standard workload (10% lower).
Qwen3 8B is $0.01 cheaper per 1M input tokens (16.7% lower; 1.2x difference).
Gemma 4 26B A4B is $0.07 cheaper per 1M output tokens (17.5% lower; 1.21x difference).
Gemma 4 26B A4B has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	Gemma 4 26B A4B (Google)	Qwen3 8B (Qwen)
Input Price prompt tokens per 1M	$0.06	$0.05
Completion Price per 1M tokens	$0.33	$0.4
Sample Workload Cost 1M input + 500K output	$0.23	$0.25
Context Window	262.14K	131.07K
Release Date	2026-04-03	2025-04-28
Popularity	#30	#102

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 4 26B A4B	On the standard 1M input plus 500K output workload, Gemma 4 26B A4B is estimated at $0.23 vs $0.25 for Qwen3 8B, saving $0.02 (10% lower).
High-volume input processing	Qwen3 8B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Gemma 4 26B A4B	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.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 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.

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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 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...