Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
With CoreAI, you can start chatting with Meta: Llama 3.1 70B Instruct instantly — no separate subscription needed. CoreAI lets you chat with Meta: Llama 3.1 70B Instruct alongside 300+ other AI models from Meta and other providers like OpenAI, Anthropic, Google, Meta, and more.
Measured against all 392 chat models CoreAI serves, Meta: Llama 3.1 70B Instruct sits at #273 for context capacity — 131K tokens, roughly 98,304 words or 197 pages of text in a single conversation. On price, it is the #116 cheapest of 128 budget-tier models by input cost. It joined the catalog on 2024-07-23.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Meta: Llama 3.1 70B Instruct and Meta: Llama 4 Maverick side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00060 on Meta: Llama 3.1 70B Instruct's raw per-token rates; a heavy session with a 50K-token document costs about $0.022. On CoreAI you don't juggle these numbers — one subscription covers Meta: Llama 3.1 70B Instruct and 300+ other models under a plan usage limit, with no API keys. See plans.
Meta: Llama 3.1 70B Instruct handles 131K tokens of context — roughly 98,304 words, or about 197 pages of text in one conversation.
Meta: Llama 3.1 70B Instruct's underlying rates are $0.4 per 1M input tokens and $0.4 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
No — Meta: Llama 3.1 70B Instruct is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
No — Meta: Llama 3.1 70B Instruct answers directly without an extended reasoning phase, which usually means faster responses.
Open the CoreAI web app or the iOS/Android app, pick Meta: Llama 3.1 70B Instruct in the model selector, and chat — no API key, no per-token billing. One subscription covers Meta: Llama 3.1 70B Instruct and 300+ other models.
The closest alternatives on CoreAI are Meta: Llama 4 Maverick, IBM: Granite 4.1 8B, inclusionAI: Ling-2.6-flash — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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