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Meta: Llama 3.1 70B Instruct

meta/llama-3.1-70b-instruct · rates as of · How this catalog is built · Benchmarks

Open Llama instruction model for multilingual chat, reasoning, and coding

Cheapest input
$0.72
$/MTok · models.dev
Cheapest output
$0.72
$/MTok
Context
131K
tokens
Sources
3
12 listings

Price changes

Cheapest list input/output only. Rates move rarely, so this is an event log. Down means cheaper. Showing the 8 latest changes.

Input $/MTok over sampled dates
Output $/MTok
  • ↑ higherOutput $0.4 → $0.72
  • ↑ higherInput $0.4 → $0.72

Sources

Same model, different sources. Our first-party rate is listed first, then router and aggregator rows stay separate so you can see the spread instead of a single blended number.

SourceProviderInputOutputCache readContext
models.devcheapestmeta-llama/llama-3.1-70b-instructKilo Gateway$0.72$0.72$0131K
OpenRoutermeta-llama/llama-3.1-70b-instructOpenRouter$0.72$0.72$0131K
models.devaws-bedrock/llama-3.1-70b-instructLLM Gateway$0.72$0.72$0128K
models.devllama-3.1-70b-instructDevPass (LLM Gateway)$0.72$0.72$0128K
LiteLLMoci/meta.llama-3.1-70b-instructN/A$0.72$0.72$0.072N/A
models.devarkanecloud/meta-llama/Llama-3.1-70B-InstructEden AI$0.8$0.8$0.16131K
LiteLLMmeta-llama/Llama-3.1-70B-InstructN/A$0.8$0.8$0.08N/A
LiteLLMLlama-3.1-70B-InstructN/A$0.8$0.8$0.08N/A
LiteLLMwandb/meta-llama/Llama-3.1-70B-InstructN/A$0.8$0.8$0.08N/A
models.devmeta/llama-3.1-70b-instructMerge Gateway$0.99$0.99$0128K
LiteLLMllama-3.1-70b-instructN/A$1$1$0.1N/A
LiteLLMperplexity/llama-3.1-70b-instructN/A$1$1$0.1N/A

Capabilities

  • Tool calling
  • Open weights
  • In: text
  • Out: text
Knowledge cutoff: 2023-12Released: 2024-07-23Output limit: 8K tokensFamily: llama

Scores

Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Hover or tap the i next to any score for its source. Full boards on /benchmarks.

Arena rows are community-vote Elo from Arena AI, Artificial Analysis indices arrive via OpenRouter, and launch-eval figures are collected from vendor announcements, analyst writeups, and community benchmarks. Full boards and credits on /benchmarks.

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