API cost decision in 10 seconds

Gemma 3 27B vs GPT-4o

Pick Gemma 3 27B when budget and context both matter.

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 and context both matter.

On the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $7.5 for GPT-4o, saving $7.34 (97.9% lower).

Cost-first pickGemma 3 27B
Context-first pickGemma 3 27B
Sample savings$7.3497.9%
10x traffic gap$73.4

Gemma 3 27B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $73.4. 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 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 3 27BGPT-4o
Input-heavy / RAG5M input + 500K outputGemma 3 27B$0.48$17.5
Balanced workload1M input + 1M outputGemma 3 27B$0.24$12.5
Output-heavy chatbot1M input + 5M outputGemma 3 27B$0.88$52.5
Cheaper input Gemma 3 27B $0.08 vs $2.5 / 1M

Gemma 3 27B is $2.42 cheaper per 1M input tokens (96.8% lower; 31.2x difference).

Cheaper output Gemma 3 27B $0.16 vs $10 / 1M

Gemma 3 27B is $9.84 cheaper per 1M output tokens (98.4% lower; 62.5x difference).

Larger context Gemma 3 27B 131.07K vs 128K

Gemma 3 27B has 3.07K more context (1.02x larger).

Sample workload Gemma 3 27B $0.16 vs $7.5

Gemma 3 27B is $7.34 cheaper on the standard workload (97.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 3 27B Calculating… Estimated API cost
GPT-4o 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 27B has the lower input price; Gemma 3 27B has the lower output price; Gemma 3 27B offers the larger 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 $7.5 for GPT-4o.

Best Fit

Choose Gemma 3 27B when you care most about lower input-token price, lower output-token price, and larger context window.

Choose GPT-4o when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $7.5 for GPT-4o, saving $7.34 (97.9% lower).
  • Gemma 3 27B is $7.34 cheaper on the standard workload (97.9% lower).
  • Gemma 3 27B is $2.42 cheaper per 1M input tokens (96.8% lower; 31.2x difference).
  • Gemma 3 27B is $9.84 cheaper per 1M output tokens (98.4% lower; 62.5x difference).
  • Gemma 3 27B has 3.07K more context (1.02x larger).
Head-to-Head Specs
FeatureGemma 3 27B
(Google)
GPT-4o
(OpenAI)
Input Price
prompt tokens per 1M
$0.08$2.5
Completion Price
per 1M tokens
$0.16$10
Sample Workload Cost
1M input + 500K output
$0.16$7.5
Context Window131.07K128K
Release Date
Popularity#86#101

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 $7.5 for GPT-4o, saving $7.34 (97.9% lower).
High-volume input processingGemma 3 27BLower 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 workGemma 3 27BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Google catalog

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OpenAI catalog

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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,...

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