L
Llama 3.3 70B Instruct
Scores reviewed 2026-06-27Prices checked 2026-10-25Meta
- OpenRouter
- meta-llama/llama-3.3-70b-instruct
- Context
- 131K
- Price per 1M
- $0.1 in / $0.32 out
- Tooling
- 4/5
- Deploy
- Cloud API
Monthly cost, worked example
| Input | 667,000 tokens × $0.1 per 1M | $0.067 |
|---|---|---|
| Output | 333,500 tokens × $0.32 per 1M | $0.11 |
| Total | ~$0.17/mo |
667 requests a month at 1,000 input and 500 output tokens each, about 1M tokens. The recommender uses the same assumption when you don't give your own usage.
Best for
- Agentic workflows and tool calling
- Writing and editing code
- Complex reasoning and analysis
- Cost-sensitive, high-volume workloads
Skip if
- You need a specialized, domain-tuned model
Capability scores
Tool calling4/5
Tooling (1-5): how reliably the model calls tools and follows multi-step instructions. Editorial score from LMFinder, not a benchmark.
Multi-step reasoning4/5
Specifications
- Context window
- 131K tokens
- VRAM
- N/A (cloud-hosted)
- License
- llama
- Pricing
- $0.1 in / $0.32 out per 1M
- Deployment
- Cloud API
- Docs
- Model docs ↗
Our take
Llama 3.3 70B Instruct from Meta offers a 131K-token context window and is well-suited to strong tool calling, multi-step reasoning, coding. Pricing is $0.1 in / $0.32 out per 1M, billed per token through the provider API.
It is a balanced pick with no major caveats for most use cases. License: llama.
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