Grok 4.7 vs Llama 3.1 8B Instruct
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲500 K tokens
- Max output
- ▲450 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $6.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/21/2026
- Knowledge cutoff
- 2026-05
- API id
- x-ai/grok-4.7
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
- 118 K
- Input, $ per 1M tokens
- ▲$0.050
- Output, $ per 1M tokens
- ▲$0.080
- Cache read, $ per 1M
- $0.025
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 07/23/2024
- Knowledge cutoff
- 2023-12
- API id
- meta-llama/llama-3.1-8b-instruct
Which is the better API choice: Grok 4.7 vs Llama 3.1 8B Instruct?
- Llama 3.1 8B Instruct: cheapest input (98% less than Grok 4.7)
- Llama 3.1 8B Instruct: cheapest output
- Grok 4.7: largest context (500 K)
- Grok 4.7: the newest (09/21/2026)
- Grok 4.7: 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 Grok 4.7 ($0.050 / $0.080 versus $2.00 / $6.00 per million tokens). Grok 4.7 accepts more context (500 K). On capabilities, Grok 4.7 accepts images.
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 $52.93 a month versus Grok 4.7 (98% 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$0.004
- 2Grok 4.7 xAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Grok 4.7 vs Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct costs 98% less on input and 99% less on output than Grok 4.7 ($0.050 / $0.080 versus $2.00 / $6.00 per million tokens). Grok 4.7 accepts more context (500 K). On capabilities, Grok 4.7 accepts images.
Which is cheaper: Grok 4.7 and Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct is cheaper: $0.050 per million input tokens and $0.080 per million output tokens, versus $2.00 / $6.00 for Grok 4.7.
Which has more context: Grok 4.7 and Llama 3.1 8B Instruct?
Grok 4.7 accepts 500 K tokens of context; Llama 3.1 8B Instruct accepts 131 K.
Which is newer: Grok 4.7 and Llama 3.1 8B Instruct?
Grok 4.7 was released on 09/21/2026; Llama 3.1 8B Instruct on 07/23/2024.
What would 10,000 requests a month cost with Grok 4.7 and Llama 3.1 8B Instruct?
With 1,500 input and 400 output tokens per request: Grok 4.7: $54.00; Llama 3.1 8B Instruct: $1.07 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.