API cost decision in 10 seconds

gpt-oss-safeguard-20b vs Ministral 3 3B 2512

Pick Ministral 3 3B 2512 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 Ministral 3 3B 2512 when budget is the priority.

On the standard 1M input plus 500K output workload, Ministral 3 3B 2512 is estimated at $0.15 vs $0.22 for gpt-oss-safeguard-20b, saving $0.07 (33.3% lower).

Cost-first pickMinistral 3 3B 2512
Context-first pickBoth models
Sample savings$0.0733.3%
10x traffic gap$0.75

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.75. 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-safeguard-20b, balanced workload favors Ministral 3 3B 2512, and output-heavy chatbot favors Ministral 3 3B 2512.

Workload shapeToken mixBetter pickgpt-oss-safeguard-20bMinistral 3 3B 2512
Input-heavy / RAG5M input + 500K outputgpt-oss-safeguard-20b$0.53$0.55
Balanced workload1M input + 1M outputMinistral 3 3B 2512$0.38$0.2
Output-heavy chatbot1M input + 5M outputMinistral 3 3B 2512$1.57$0.6
Cheaper input gpt-oss-safeguard-20b $0.075 vs $0.1 / 1M

gpt-oss-safeguard-20b is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Ministral 3 3B 2512 $0.3 vs $0.1 / 1M

Ministral 3 3B 2512 is $0.2 cheaper per 1M output tokens (66.7% lower; 3x difference).

Larger context Tie 131.07K vs 131.07K

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

Sample workload Ministral 3 3B 2512 $0.22 vs $0.15

Ministral 3 3B 2512 is $0.07 cheaper on the standard workload (33.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
gpt-oss-safeguard-20b Calculating… Estimated API cost
Ministral 3 3B 2512 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; Ministral 3 3B 2512 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Ministral 3 3B 2512 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.22 for gpt-oss-safeguard-20b and $0.15 for Ministral 3 3B 2512.

Best Fit

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

Choose Ministral 3 3B 2512 when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ministral 3 3B 2512 is estimated at $0.15 vs $0.22 for gpt-oss-safeguard-20b, saving $0.07 (33.3% lower).
  • Ministral 3 3B 2512 is $0.07 cheaper on the standard workload (33.3% lower).
  • gpt-oss-safeguard-20b is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Ministral 3 3B 2512 is $0.2 cheaper per 1M output tokens (66.7% lower; 3x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
Featuregpt-oss-safeguard-20b
(OpenAI)
Ministral 3 3B 2512
(Mistral)
Input Price
prompt tokens per 1M
$0.075$0.1
Completion Price
per 1M tokens
$0.3$0.1
Sample Workload Cost
1M input + 500K output
$0.22$0.15
Context Window131.07K131.07K
Release Date
Popularity#124#130

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMinistral 3 3B 2512On the standard 1M input plus 500K output workload, Ministral 3 3B 2512 is estimated at $0.15 vs $0.22 for gpt-oss-safeguard-20b, saving $0.07 (33.3% 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 chatbotsMinistral 3 3B 2512Lower 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.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.13.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

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

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

Open OpenAI models

Mistral catalog

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

Open Mistral models
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...

Ministral 3 3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.