API cost decision in 10 seconds

Gemma 4 26B A4B vs gpt-oss-safeguard-20b

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

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

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.23 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickGemma 4 26B A4B
Sample savings$00%
10x traffic gap$0

Context-window winner: Gemma 4 26B A4B. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Gemma 4 26B A4B, balanced workload favors gpt-oss-safeguard-20b, and output-heavy chatbot favors gpt-oss-safeguard-20b.

Workload shapeToken mixBetter pickGemma 4 26B A4Bgpt-oss-safeguard-20b
Input-heavy / RAG5M input + 500K outputGemma 4 26B A4B$0.46$0.53
Balanced workload1M input + 1M outputgpt-oss-safeguard-20b$0.39$0.38
Output-heavy chatbot1M input + 5M outputgpt-oss-safeguard-20b$1.71$1.57
Cheaper input Gemma 4 26B A4B $0.06 vs $0.075 / 1M

Gemma 4 26B A4B is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output gpt-oss-safeguard-20b $0.33 vs $0.3 / 1M

gpt-oss-safeguard-20b is $0.03 cheaper per 1M output tokens (9.1% lower; 1.1x 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 gpt-oss-safeguard-20b $0.23 vs $0.22

gpt-oss-safeguard-20b is $0 cheaper on the standard workload (0% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 26B A4B Calculating… Estimated API cost
gpt-oss-safeguard-20b 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 4 26B A4B has the lower input price; gpt-oss-safeguard-20b has the lower output price; Gemma 4 26B A4B offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-safeguard-20b 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 $0.22 for gpt-oss-safeguard-20b.

Best Fit

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

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

Decision Notes
  • Both models are estimated at $0.23 for the standard 1M input plus 500K output workload.
  • gpt-oss-safeguard-20b is $0 cheaper on the standard workload (0% lower).
  • Gemma 4 26B A4B is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • gpt-oss-safeguard-20b is $0.03 cheaper per 1M output tokens (9.1% lower; 1.1x difference).
  • Gemma 4 26B A4B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureGemma 4 26B A4B
(Google)
gpt-oss-safeguard-20b
(OpenAI)
Input Price
prompt tokens per 1M
$0.06$0.075
Completion Price
per 1M tokens
$0.33$0.3
Sample Workload Cost
1M input + 500K output
$0.23$0.22
Context Window262.14K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $0.23 for the standard 1M input plus 500K output workload.
High-volume input processingGemma 4 26B A4BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsgpt-oss-safeguard-20bLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 4 26B A4BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Google catalog

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OpenAI catalog

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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...

gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...