gpt-oss-safeguard-20b vs Mistral Large 4

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

OpenAIgpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
131 K tokens
Max output
66 K
Input, $ per 1M tokens
▲$0.075
Output, $ per 1M tokens
▲$0.300
Cache read, $ per 1M
$0.038
Batch (input / output)
—
Tool calling
Yes
Released
10/29/2025
Knowledge cutoff
—
API id
openai/gpt-oss-safeguard-20b
MistralLarge 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1 M tokens
Max output
▲262 K
Input, $ per 1M tokens
$0.700
Output, $ per 1M tokens
$2.10
Cache read, $ per 1M
$0.070
Batch (input / output)
—
Tool calling
Yes
Released
▲10/06/2026
Knowledge cutoff
—
API id
mistralai/mistral-large-4-0
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: gpt-oss-safeguard-20b vs Mistral Large 4?

  • gpt-oss-safeguard-20b: cheapest input (89% less than Mistral Large 4)
  • gpt-oss-safeguard-20b: cheapest output
  • Mistral Large 4: largest context (1 M)
  • Mistral Large 4: the newest (10/06/2026)
  • Mistral Large 4: most reasoning (estimated)
  • gpt-oss-safeguard-20b: the fastest (estimated)

gpt-oss-safeguard-20b costs 89% less on input and 86% less on output than Mistral Large 4 ($0.075 / $0.300 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

gpt-oss-safeguard-20b
$2.33/mo
Mistral Large 4
$18.90/mo

With gpt-oss-safeguard-20b you save $16.58 a month versus Mistral Large 4 (88% less).

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Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1gpt-oss-safeguard-20b OpenAI$0.006
  2. 2Claude Haiku 5.5 Anthropic$0.008
  3. 3Mistral Large 4 Mistral$0.053
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: gpt-oss-safeguard-20b vs Mistral Large 4?

gpt-oss-safeguard-20b costs 89% less on input and 86% less on output than Mistral Large 4 ($0.075 / $0.300 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images.

Which is cheaper: gpt-oss-safeguard-20b and Mistral Large 4?

gpt-oss-safeguard-20b is cheaper: $0.075 per million input tokens and $0.300 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.

Which has more context: gpt-oss-safeguard-20b and Mistral Large 4?

Mistral Large 4 accepts 1 M tokens of context; gpt-oss-safeguard-20b accepts 131 K.

Which is newer: gpt-oss-safeguard-20b and Mistral Large 4?

Mistral Large 4 was released on 10/06/2026; gpt-oss-safeguard-20b on 10/29/2025.

What would 10,000 requests a month cost with gpt-oss-safeguard-20b and Mistral Large 4?

With 1,500 input and 400 output tokens per request: gpt-oss-safeguard-20b: $2.33; Mistral Large 4: $18.90 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.