API cost decision in 10 seconds

Gemma 3 27B vs Qwen3 8B

Pick Gemma 3 27B when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 3 27B when budget is the priority.

On the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $0.25 for Qwen3 8B, saving $0.09 (36% lower).

Cost-first pickGemma 3 27B
Context-first pickBoth models
Sample savings$0.0936%
10x traffic gap$0.9

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.9. 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 3 27B, and output-heavy chatbot favors Gemma 3 27B.

Workload shapeToken mixBetter pickGemma 3 27BQwen3 8B
Input-heavy / RAG5M input + 500K outputQwen3 8B$0.48$0.45
Balanced workload1M input + 1M outputGemma 3 27B$0.24$0.45
Output-heavy chatbot1M input + 5M outputGemma 3 27B$0.88$2.05
Cheaper input Qwen3 8B $0.08 vs $0.05 / 1M

Qwen3 8B is $0.03 cheaper per 1M input tokens (37.5% lower; 1.6x difference).

Cheaper output Gemma 3 27B $0.16 vs $0.4 / 1M

Gemma 3 27B is $0.24 cheaper per 1M output tokens (60% lower; 2.5x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Gemma 3 27B $0.16 vs $0.25

Gemma 3 27B is $0.09 cheaper on the standard workload (36% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 3 27B 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 3 27B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Gemma 3 27B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.16 for Gemma 3 27B and $0.25 for Qwen3 8B.

Best Fit

Choose Gemma 3 27B when you care most about lower output-token price.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $0.25 for Qwen3 8B, saving $0.09 (36% lower).
  • Gemma 3 27B is $0.09 cheaper on the standard workload (36% lower).
  • Qwen3 8B is $0.03 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
  • Gemma 3 27B is $0.24 cheaper per 1M output tokens (60% lower; 2.5x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
FeatureGemma 3 27B
(Google)
Qwen3 8B
(Qwen)
Input Price
prompt tokens per 1M
$0.08$0.05
Completion Price
per 1M tokens
$0.16$0.4
Sample Workload Cost
1M input + 500K output
$0.16$0.25
Context Window131.07K131.07K
Release Date
Popularity#86#102

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 3 27BOn the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $0.25 for Qwen3 8B, saving $0.09 (36% lower).
High-volume input processingQwen3 8BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 3 27BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA 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.

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 3 27B

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,...

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,...