Llama 3 8B Instruct
Llama 3 8B Instruct is worth evaluating for coding, classification, and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, classification, and json / tool use
- Workloads that can use a 8k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Llama 3
- Released
- 2024-04-18
- Context
- 8k
- Parameters
- 8B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-03
- Specialization
- general
- Openness
- Open weights
- License
- Llama 3 CommunityCommercial use with conditions
- Training
- finetuned
Large-scale open-source AI for social technologies.
Cheapest of 17 routes · OpenRouter
About
The Llama 3 8B Instruct model, released on April 18, 2024, is Meta's latest instruction-following language model with 8 billion parameters. It utilizes an auto-regressive transformer architecture with Grouped-Query Attention for improved scalability. Trained on over 15 trillion tokens and fine-tuned with 10 million human-annotated examples, it excels in dialogue and conversational tasks. The model outperforms its predecessors on industry benchmarks, scoring 68.4 on MMLU (5-shot). Designed for commercial and research applications, it prioritizes safety and helpfulness, making it suitable for chatbots, virtual assistants, and other interactive AI applications. For more details, visit the Hugging Face page [1].
Llama 3 8B Instruct is an open-weight model in the Llama 3 family. The structured metadata tracks a 8k-token context window and structured outputs. This page tracks provider routes through AWS Bedrock, DeepInfra, OctoAI API (Deprecated), and 14 more, with the cheapest tracked route listed at $0.03 input and $0.04 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 44.8, HellaSwag 91.1, and HumanEval 68.2.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ A1 relevant benchmark in the decision map.
Classification
Q/$ A3 relevant benchmarks in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 17Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| OpenRouter | $0.030 | $0.040 | Serverless |
| Novita AI | $0.040 | $0.040 | Serverless |
| Lepton AI API | $0.070 | $0.070 | Serverless |
| DeepInfra | $0.050 | $0.150 | Serverless |
Available via routers & gateways(16)
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
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.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
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.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(7)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 44.8 | diamond | https://arxiv.org/abs/2407.21783 |
| HellaSwag | 91.1 | 10-shot | research |
| HumanEval | 68.2 | pass@1 | research |
| Massive Multitask Language Understanding | 76.9 | 5-shot | https://arxiv.org/abs/2407.21783 |
| Instruction-Following Evaluation | 59.5 | v2 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| MMLU PRO | 40.5 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
| Grade School Math 8K | 80.6 | — | https://arxiv.org/abs/2407.21783 |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(3)
Comparison and alternatives
Browse all comparisons →Show all 51 popular comparisonssorted by 7-day search impressions
Large-scale open-source AI for social technologies.
Cheapest of 17 routes · OpenRouter