GPT-6.1 Terra 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
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- $1.00
- Output, $ per 1M tokens
- $5.00
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- $0.500 / $2.50
- Tool calling
- Yes
- Released
- ▲10/26/2026
- Knowledge cutoff
- 2026-06-01
- API id
- openai/gpt-6.1-terra
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.
- 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
Which is the better API choice: GPT-6.1 Terra vs Llama 3.1 8B Instruct?
- Llama 3.1 8B Instruct: cheapest input (98% less than GPT-6.1 Terra)
- Llama 3.1 8B Instruct: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
- GPT-6.1 Terra: most reasoning (estimated)
- Llama 3.1 8B Instruct: the fastest (estimated)
Llama 3.1 8B Instruct costs 98% less on input and 99% less on output than GPT-6.1 Terra ($0.020 / $0.040 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra accepts images; GPT-6.1 Terra has a reasoning mode. GPT-6.1 Terra 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.
With Llama 3.1 8B Instruct you save $34.54 a month versus GPT-6.1 Terra (99% 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.
Cost of sending it 1,000 times (input only)
- 1Llama 3.1 8B Instruct Meta$0.002
- 2Claude Haiku 5.5 Anthropic$0.008
- 3GPT-6.1 Terra OpenAI$0.076
- 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: GPT-6.1 Terra vs Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct costs 98% less on input and 99% less on output than GPT-6.1 Terra ($0.020 / $0.040 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, GPT-6.1 Terra accepts images; GPT-6.1 Terra has a reasoning mode. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-6.1 Terra 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 $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: GPT-6.1 Terra and Llama 3.1 8B Instruct?
GPT-6.1 Terra accepts 1.1 M tokens of context; Llama 3.1 8B Instruct accepts 131 K.
Which is newer: GPT-6.1 Terra and Llama 3.1 8B Instruct?
GPT-6.1 Terra was released on 10/26/2026; Llama 3.1 8B Instruct on 07/23/2024.
What would 10,000 requests a month cost with GPT-6.1 Terra and Llama 3.1 8B Instruct?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; 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.