API cost decision in 10 seconds

Gemma 3 27B vs R1

Pick Gemma 3 27B for lower cost; pick R1 only if the larger context window matters more.

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

Budget verdict

Pick Gemma 3 27B for lower cost; pick R1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $1.95 for R1, saving $1.79 (91.8% lower).

Cost-first pickGemma 3 27B
Context-first pickR1
Sample savings$1.7991.8%
10x traffic gap$17.9

R1 has more context, but Gemma 3 27B saves $1.79 on the standard workload. At 10x that traffic, the same price gap is about $17.9. 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 27BR1
Input-heavy / RAG5M input + 500K outputGemma 3 27B$0.48$4.75
Balanced workload1M input + 1M outputGemma 3 27B$0.24$3.2
Output-heavy chatbot1M input + 5M outputGemma 3 27B$0.88$13.2
Cheaper input Gemma 3 27B $0.08 vs $0.7 / 1M

Gemma 3 27B is $0.62 cheaper per 1M input tokens (88.6% lower; 8.75x difference).

Cheaper output Gemma 3 27B $0.16 vs $2.5 / 1M

Gemma 3 27B is $2.34 cheaper per 1M output tokens (93.6% lower; 15.6x difference).

Larger context R1 131.07K vs 163.84K

R1 has 32.77K more context (1.25x larger).

Sample workload Gemma 3 27B $0.16 vs $1.95

Gemma 3 27B is $1.79 cheaper on the standard workload (91.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 3 27B Calculating… Estimated API cost
R1 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; R1 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 $1.95 for R1.

Best Fit

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

Choose R1 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 3 27B is estimated at $0.16 vs $1.95 for R1, saving $1.79 (91.8% lower).
  • Gemma 3 27B is $1.79 cheaper on the standard workload (91.8% lower).
  • Gemma 3 27B is $0.62 cheaper per 1M input tokens (88.6% lower; 8.75x difference).
  • Gemma 3 27B is $2.34 cheaper per 1M output tokens (93.6% lower; 15.6x difference).
  • R1 has 32.77K more context (1.25x larger).
Head-to-Head Specs
FeatureGemma 3 27B
(Google)
R1
(DeepSeek)
Input Price
prompt tokens per 1M
$0.08$0.7
Completion Price
per 1M tokens
$0.16$2.5
Sample Workload Cost
1M input + 500K output
$0.16$1.95
Context Window131.07K163.84K
Release Date
Popularity#86#144

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 $1.95 for R1, saving $1.79 (91.8% 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 workR1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
Larger context near this budget

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

DeepSeek catalog

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

Open DeepSeek 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,...

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....