Llama Guard 4 12B 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
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 164 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.180
- Output, $ per 1M tokens
- ▲$0.180
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- No
- Released
- 04/30/2025
- Knowledge cutoff
- —
- API id
- meta-llama/llama-guard-4-12b
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
- 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
Which is the better API choice: Llama Guard 4 12B vs Mistral Large 4?
- Llama Guard 4 12B: cheapest input (74% less than Mistral Large 4)
- Llama Guard 4 12B: cheapest output
- Mistral Large 4: largest context (1 M)
- Mistral Large 4: the newest (10/06/2026)
- Mistral Large 4: most reasoning (estimated)
- Llama Guard 4 12B: the fastest (estimated)
Llama Guard 4 12B costs 74% less on input and 91% less on output than Mistral Large 4 ($0.180 / $0.180 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 has a reasoning mode.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Llama Guard 4 12B you save $15.48 a month versus Mistral Large 4 (82% less).
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- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
- 6Ministral 3 3B 2512 Mistral$1.90
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Llama Guard 4 12B Meta$0.014
- 3Mistral Large 4 Mistral$0.053
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Llama Guard 4 12B vs Mistral Large 4?
Llama Guard 4 12B costs 74% less on input and 91% less on output than Mistral Large 4 ($0.180 / $0.180 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 has a reasoning mode.
Which is cheaper: Llama Guard 4 12B and Mistral Large 4?
Llama Guard 4 12B is cheaper: $0.180 per million input tokens and $0.180 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.
Which has more context: Llama Guard 4 12B and Mistral Large 4?
Mistral Large 4 accepts 1 M tokens of context; Llama Guard 4 12B accepts 164 K.
Which is newer: Llama Guard 4 12B and Mistral Large 4?
Mistral Large 4 was released on 10/06/2026; Llama Guard 4 12B on 04/30/2025.
What would 10,000 requests a month cost with Llama Guard 4 12B and Mistral Large 4?
With 1,500 input and 400 output tokens per request: Llama Guard 4 12B: $3.42; 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.