Tasks and inputs
Meta Llama 3.1 8B Instruct Turbo is listed for Text-to-text AI models. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Meta Llama 3.1 8B Instruct Turbo is listed in Requesty’s public model catalogue under the exact routing identifier deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo. A lightweight and ultra-fast variant of Llama 3.3 70B, for use when quick response times are needed most.
When the catalogue snapshot was collected, the catalogue records a context window of 131,072 tokens and no verified maximum output limit. It records no reasoning-support flag, no vision-input flag, tool-calling support, and no image-generation flag. These fields describe the routing catalogue entry and should be rechecked against the current provider documentation before production use.
The source catalogue reports input and output prices when available. Pricing can depend on the route, region, token tier, cache use, account, and date, so this record does not infer a commercial commitment from a single snapshot. Confirm current pricing, data handling, regional controls, rate limits, and availability with the current upstream documentation.
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Meta Llama 3.1 8B Instruct Turbo is listed for Text-to-text AI models. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 131.07K context. The listed route charges $0.02 input and $0.05 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
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