GPT-6.1 Terra vs Llama 4 Scout
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
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1.3 M tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.300
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/05/2025
- Knowledge cutoff
- 2025-01
- API id
- meta-llama/llama-4-scout
Which is the better API choice: GPT-6.1 Terra vs Llama 4 Scout?
- Llama 4 Scout: cheapest input (90% less than GPT-6.1 Terra)
- Llama 4 Scout: cheapest output
- Llama 4 Scout: largest context (1.3 M)
- GPT-6.1 Terra: the newest (10/26/2026)
- GPT-6.1 Terra: most reasoning (estimated)
Llama 4 Scout costs 90% less on input and 94% less on output than GPT-6.1 Terra ($0.100 / $0.300 versus $1.00 / $5.00 per million tokens). Llama 4 Scout accepts more context (1.3 M). On capabilities, 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 4 Scout you save $32.30 a month versus GPT-6.1 Terra (92% 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 4 Scout Meta$0.008
- 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 4 Scout?
Llama 4 Scout costs 90% less on input and 94% less on output than GPT-6.1 Terra ($0.100 / $0.300 versus $1.00 / $5.00 per million tokens). Llama 4 Scout accepts more context (1.3 M). On capabilities, 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 4 Scout?
Llama 4 Scout is cheaper: $0.100 per million input tokens and $0.300 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: GPT-6.1 Terra and Llama 4 Scout?
Llama 4 Scout accepts 1.3 M tokens of context; GPT-6.1 Terra accepts 1.1 M.
Which is newer: GPT-6.1 Terra and Llama 4 Scout?
GPT-6.1 Terra was released on 10/26/2026; Llama 4 Scout on 04/05/2025.
What would 10,000 requests a month cost with GPT-6.1 Terra and Llama 4 Scout?
With 1,500 input and 400 output tokens per request: GPT-6.1 Terra: $35.00; Llama 4 Scout: $2.70 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.