API cost decision in 10 seconds

Gemma 4 31B vs gpt-oss-safeguard-20b

Pick gpt-oss-safeguard-20b for lower cost; pick Gemma 4 31B only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick gpt-oss-safeguard-20b for lower cost; pick Gemma 4 31B only if the larger context window matters more.

On the standard 1M input plus 500K output workload, gpt-oss-safeguard-20b is estimated at $0.22 vs $0.3 for Gemma 4 31B, saving $0.08 (26.2% lower).

Cost-first pickgpt-oss-safeguard-20b
Context-first pickGemma 4 31B
Sample savings$0.0826.2%
10x traffic gap$0.8

Gemma 4 31B has more context, but gpt-oss-safeguard-20b saves $0.08 on the standard workload. At 10x that traffic, the same price gap is about $0.8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

gpt-oss-safeguard-20b stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGemma 4 31Bgpt-oss-safeguard-20b
Input-heavy / RAG5M input + 500K outputgpt-oss-safeguard-20b$0.78$0.53
Balanced workload1M input + 1M outputgpt-oss-safeguard-20b$0.49$0.38
Output-heavy chatbot1M input + 5M outputgpt-oss-safeguard-20b$1.97$1.57
Cheaper input gpt-oss-safeguard-20b $0.12 vs $0.075 / 1M

gpt-oss-safeguard-20b is $0.04 cheaper per 1M input tokens (37.5% lower; 1.6x difference).

Cheaper output gpt-oss-safeguard-20b $0.37 vs $0.3 / 1M

gpt-oss-safeguard-20b is $0.07 cheaper per 1M output tokens (18.9% lower; 1.23x difference).

Larger context Gemma 4 31B 262.14K vs 131.07K

Gemma 4 31B has 131.07K more context (2x larger).

Sample workload gpt-oss-safeguard-20b $0.3 vs $0.22

gpt-oss-safeguard-20b is $0.08 cheaper on the standard workload (26.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 4 31B 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

gpt-oss-safeguard-20b has the lower input price; gpt-oss-safeguard-20b has the lower output price; Gemma 4 31B 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 $0.3 for Gemma 4 31B and $0.22 for gpt-oss-safeguard-20b.

Best Fit

Choose Gemma 4 31B when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, gpt-oss-safeguard-20b is estimated at $0.22 vs $0.3 for Gemma 4 31B, saving $0.08 (26.2% lower).
  • gpt-oss-safeguard-20b is $0.08 cheaper on the standard workload (26.2% lower).
  • gpt-oss-safeguard-20b is $0.04 cheaper per 1M input tokens (37.5% lower; 1.6x difference).
  • gpt-oss-safeguard-20b is $0.07 cheaper per 1M output tokens (18.9% lower; 1.23x difference).
  • Gemma 4 31B has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureGemma 4 31B
(Google)
gpt-oss-safeguard-20b
(OpenAI)
Input Price
prompt tokens per 1M
$0.12$0.075
Completion Price
per 1M tokens
$0.37$0.3
Sample Workload Cost
1M input + 500K output
$0.3$0.22
Context Window262.14K131.07K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productiongpt-oss-safeguard-20bOn the standard 1M input plus 500K output workload, gpt-oss-safeguard-20b is estimated at $0.22 vs $0.3 for Gemma 4 31B, saving $0.08 (26.2% lower).
High-volume input processinggpt-oss-safeguard-20bLower 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 31BA 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 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

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...