Llama 3.1 8B Instruct
Llama 3.1 8B Instruct is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating rag, long context, and classification
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Llama 3.1
- Released
- 2024-07-23
- Context
- 128k
- Parameters
- 8B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Openness
- Open weights
- License
- Llama 3 CommunityCommercial use: conditional
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Large-scale open-source AI for social technologies.
Cheapest of 16 routes · DeepInfra
About
The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks. Ideal for commercial and research applications such as conversational agents and content generation, the model can be accessed on Hugging Face .
Llama 3.1 8B Instruct is an open-weight model in the Llama 3.1 family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, and 13 more, with the cheapest tracked route listed at $0.02 input and $0.05 output per 1M tokens. Headline tracked benchmarks include BFCL 25.8 and MMLU PRO 44.3.
Top use-case fit
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Classification
Q/$ A1 relevant benchmark in the decision map.
Provider price ladder
Compare all 16Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| DeepInfra | $0.020 | $0.050 | Serverless |
| Novita AI | $0.020 | $0.050 | Serverless |
| OpenRouter | $0.020 | $0.050 | Serverless |
| GroqCloud | $0.050 | $0.080 | Serverless |
Available via routers & gateways(8)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
Amazon Bedrock Intelligent Prompt Routing
RouterAWS Bedrock's native intelligent prompt router that routes prompts between Anthropic Claude model tiers (Haiku/Sonnet) based on predicted task complexity, with no extra per-routing charge.
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Capabilities
Benchmark peer barsfor Classification
Benchmark scores(2)
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(2)
Compare Llama 3.1 8B Instruct with other models
Comparison and alternatives
Browse all comparisons →Frequently asked questions
What is the context window of Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct has a context window of 128k tokens.
How much does Llama 3.1 8B Instruct cost?
Llama 3.1 8B Instruct pricing ranges from $0.02/1M to $0.3/1M input tokens depending on the provider.
When was Llama 3.1 8B Instruct released?
Llama 3.1 8B Instruct was released on 2024-07-23.
Which providers offer Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct is available from 16 providers: Cloudflare Workers AI, OctoAI API (Deprecated), Together AI, Fireworks AI, NVIDIA NIM, GroqCloud, Microsoft Foundry, Databricks Foundation Model Serving, Hyperbolic AI Inference, OpenRouter, IBM watsonx, AWS Bedrock, Replicate API, Vercel AI Gateway, Novita AI, DeepInfra.
What benchmarks has Llama 3.1 8B Instruct been tested on?
Llama 3.1 8B Instruct has been evaluated on 2 benchmarks, including BFCL, MMLU PRO.
Large-scale open-source AI for social technologies.
Cheapest of 16 routes · DeepInfra