API cost decision in 10 seconds

gpt-oss-20b vs Gemma 3 12B

Pick gpt-oss-20b 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 gpt-oss-20b when budget is the priority.

On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.11 for Gemma 3 12B, saving $0.005 (4.8% lower).

Cost-first pickgpt-oss-20b
Context-first pickBoth models
Sample savings$0.0054.8%
10x traffic gap$0.05

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.05. 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 gpt-oss-20b, balanced workload favors Tie, and output-heavy chatbot favors Gemma 3 12B.

Workload shapeToken mixBetter pickgpt-oss-20bGemma 3 12B
Input-heavy / RAG5M input + 500K outputgpt-oss-20b$0.22$0.27
Balanced workload1M input + 1M outputTie$0.17$0.17
Output-heavy chatbot1M input + 5M outputGemma 3 12B$0.73$0.69
Cheaper input gpt-oss-20b $0.03 vs $0.04 / 1M

gpt-oss-20b is $0.01 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Gemma 3 12B $0.14 vs $0.13 / 1M

Gemma 3 12B is $0.01 cheaper per 1M output tokens (7.1% lower; 1.08x difference).

Larger context Tie 131.07K vs 131.07K

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

Sample workload gpt-oss-20b $0.1 vs $0.11

gpt-oss-20b is $0.005 cheaper on the standard workload (4.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
gpt-oss-20b Calculating… Estimated API cost
Gemma 3 12B 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

gpt-oss-20b has the lower input price; Gemma 3 12B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, gpt-oss-20b is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for gpt-oss-20b and $0.11 for Gemma 3 12B.

Best Fit

Choose gpt-oss-20b when you care most about lower input-token price.

Choose Gemma 3 12B when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.11 for Gemma 3 12B, saving $0.005 (4.8% lower).
  • gpt-oss-20b is $0.005 cheaper on the standard workload (4.8% lower).
  • gpt-oss-20b is $0.01 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Gemma 3 12B is $0.01 cheaper per 1M output tokens (7.1% lower; 1.08x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
Featuregpt-oss-20b
(OpenAI)
Gemma 3 12B
(Google)
Input Price
prompt tokens per 1M
$0.03$0.04
Completion Price
per 1M tokens
$0.14$0.13
Sample Workload Cost
1M input + 500K output
$0.1$0.11
Context Window131.07K131.07K
Release Date
Popularity#67#123

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productiongpt-oss-20bOn the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.11 for Gemma 3 12B, saving $0.005 (4.8% lower).
High-volume input processinggpt-oss-20bLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 3 12BLower 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.

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Larger context alternatives

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Provider catalogs

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Open provider hubs

OpenAI catalog

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Google catalog

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gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

Gemma 3 12B

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,...