GPT-6.1 Sol vs Llama Guard 4 12B

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

Data updated on September 30, 2026· 217 models

OpenAIGPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1.1 M tokens
Max output
▲128 K
Input, $ per 1M tokens
$2.00
Output, $ per 1M tokens
$10.00
Cache read, $ per 1M
$0.100
Batch (input / output)
$1.00 / $5.00
Tool calling
Yes
Released
▲09/29/2026
Knowledge cutoff
2026-04-30
API id
openai/gpt-6.1-sol
Meta4 12B

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification.

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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
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-6.1 Sol vs Llama Guard 4 12B?

  • Llama Guard 4 12B: cheapest input (91% less than GPT-6.1 Sol)
  • Llama Guard 4 12B: cheapest output
  • GPT-6.1 Sol: largest context (1.1 M)
  • GPT-6.1 Sol: the newest (09/29/2026)
  • GPT-6.1 Sol: most reasoning (estimated)
  • Llama Guard 4 12B: the fastest (estimated)

Llama Guard 4 12B costs 91% less on input and 98% less on output than GPT-6.1 Sol ($0.180 / $0.180 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, GPT-6.1 Sol has a reasoning mode. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

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

GPT-6.1 Sol
$70.00/mo
Llama Guard 4 12B
$3.42/mo

With Llama Guard 4 12B you save $66.58 a month versus GPT-6.1 Sol (95% 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. 1Llama Guard 4 12B Meta$0.014
  2. 2GPT-6.1 Sol OpenAI$0.152
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: GPT-6.1 Sol vs Llama Guard 4 12B?

Llama Guard 4 12B costs 91% less on input and 98% less on output than GPT-6.1 Sol ($0.180 / $0.180 versus $2.00 / $10.00 per million tokens). GPT-6.1 Sol accepts more context (1.1 M). On capabilities, GPT-6.1 Sol has a reasoning mode. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: GPT-6.1 Sol and Llama Guard 4 12B?

Llama Guard 4 12B is cheaper: $0.180 per million input tokens and $0.180 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.

Which has more context: GPT-6.1 Sol and Llama Guard 4 12B?

GPT-6.1 Sol accepts 1.1 M tokens of context; Llama Guard 4 12B accepts 164 K.

Which is newer: GPT-6.1 Sol and Llama Guard 4 12B?

GPT-6.1 Sol was released on 09/29/2026; Llama Guard 4 12B on 04/30/2025.

What would 10,000 requests a month cost with GPT-6.1 Sol and Llama Guard 4 12B?

With 1,500 input and 400 output tokens per request: GPT-6.1 Sol: $70.00; Llama Guard 4 12B: $3.42 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.