GPT-6.1 Terra vs Llama 3.3 70B 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
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 115 K
- Input, $ per 1M tokens
- ▲$0.710
- Output, $ per 1M tokens
- ▲$0.710
- Cache read, $ per 1M
- $0.710
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 12/06/2024
- Knowledge cutoff
- 2023-12
- API id
- meta-llama/llama-3.3-70b-instruct
Which is the better API choice: GPT-6.1 Terra vs Llama 3.3 70B Instruct?
- Llama 3.3 70B Instruct: cheapest input (29% less than GPT-6.1 Terra)
- Llama 3.3 70B 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 3.3 70B Instruct costs 29% less on input and 86% less on output than GPT-6.1 Terra ($0.710 / $0.710 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 3.3 70B Instruct you save $21.51 a month versus GPT-6.1 Terra (61% 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)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Llama 3.3 70B Instruct Meta$0.054
- 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 3.3 70B Instruct?
Llama 3.3 70B Instruct costs 29% less on input and 86% less on output than GPT-6.1 Terra ($0.710 / $0.710 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 3.3 70B Instruct?
Llama 3.3 70B Instruct is cheaper: $0.710 per million input tokens and $0.710 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: GPT-6.1 Terra and Llama 3.3 70B Instruct?
GPT-6.1 Terra accepts 1.1 M tokens of context; Llama 3.3 70B Instruct accepts 131 K.
Which is newer: GPT-6.1 Terra and Llama 3.3 70B Instruct?
GPT-6.1 Terra was released on 10/26/2026; Llama 3.3 70B Instruct on 12/06/2024.
What would 10,000 requests a month cost with GPT-6.1 Terra and Llama 3.3 70B Instruct?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Llama 3.3 70B Instruct: $13.49 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.