GPT-6 Luna Pro vs Llama 3.1 8B Instruct

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

Data updated on November 14, 2026· 230 models

OpenAILuna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
▲1.1 M tokens
Max output
▲128 K
Input, $ per 1M tokens
$0.100
Output, $ per 1M tokens
$0.500
Cache read, $ per 1M
$0.010
Batch (input / output)
$0.050 / $0.250
Tool calling
Yes
Released
▲09/22/2026
Knowledge cutoff
—
API id
openai/gpt-6-luna-pro
Meta8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.

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Reasoning estimated
Speed estimated
Input
Output
Context
131 K tokens
Max output
16 K
Input, $ per 1M tokens
▲$0.020
Output, $ per 1M tokens
▲$0.040
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
07/23/2024
Knowledge cutoff
2024-07
API id
meta-llama/llama-3.1-8b-instruct
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 Luna Pro vs Llama 3.1 8B Instruct?

  • Llama 3.1 8B Instruct: cheapest input (80% less than GPT-6 Luna Pro)
  • Llama 3.1 8B Instruct: cheapest output
  • GPT-6 Luna Pro: largest context (1.1 M)
  • GPT-6 Luna Pro: the newest (09/22/2026)
  • GPT-6 Luna Pro: most reasoning (estimated)

Llama 3.1 8B Instruct costs 80% less on input and 92% less on output than GPT-6 Luna Pro ($0.020 / $0.040 versus $0.100 / $0.500 per million tokens). GPT-6 Luna Pro accepts more context (1.1 M). On capabilities, GPT-6 Luna Pro accepts images; GPT-6 Luna Pro has a reasoning mode. GPT-6 Luna Pro 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 Luna Pro
$3.50/mo
Llama 3.1 8B Instruct
$0.46/mo

With Llama 3.1 8B Instruct you save $3.04 a month versus GPT-6 Luna Pro (87% 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 3.1 8B Instruct Meta$0.002
  2. 2GPT-6 Luna Pro OpenAI$0.008
  3. 3Claude Haiku 5.5 Anthropic$0.008
  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-6 Luna Pro vs Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct costs 80% less on input and 92% less on output than GPT-6 Luna Pro ($0.020 / $0.040 versus $0.100 / $0.500 per million tokens). GPT-6 Luna Pro accepts more context (1.1 M). On capabilities, GPT-6 Luna Pro accepts images; GPT-6 Luna Pro has a reasoning mode. GPT-6 Luna Pro offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: GPT-6 Luna Pro and Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is cheaper: $0.020 per million input tokens and $0.040 per million output tokens, versus $0.100 / $0.500 for GPT-6 Luna Pro.

Which has more context: GPT-6 Luna Pro and Llama 3.1 8B Instruct?

GPT-6 Luna Pro accepts 1.1 M tokens of context; Llama 3.1 8B Instruct accepts 131 K.

Which is newer: GPT-6 Luna Pro and Llama 3.1 8B Instruct?

GPT-6 Luna Pro was released on 09/22/2026; Llama 3.1 8B Instruct on 07/23/2024.

What would 10,000 requests a month cost with GPT-6 Luna Pro and Llama 3.1 8B Instruct?

With 1,500 input and 400 output tokens per request: GPT-6 Luna Pro: $3.50; Llama 3.1 8B Instruct: $0.46 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.