Llama 3.3.70B-Instruct

Chat model by Meta.

Llama 3.3.70B-Instruct is a chat model made by Meta, served on nRouter.

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Models / Llama 3.3.70B-InstructID: azure_ai/Llama-3.3-70B-Instruct

Maker

Meta

Served On: Azure Foundry

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: glm-5.3-prime, qwen3-235b-a22b-2507, qwen3.7-max-2026-05-17.

Context window

—

Max output

—

Modality

chat

Vision
Function calling
System prompt

Benchmarks & performance rankings

Empirical intelligence benchmarks and category leaderboard placements for Llama 3.3.70B-Instruct.

Compare in BenchmarksLeaderboard
Leaderboard placements
#12
speedScore: 93.2%
Core benchmark dimensionsSource: Meta AI Benchmark Report
MMLUKnowledge

86%

HumanEvalCoding

84.5%

Latency p50TTFT

310ms

p99: 850ms

ThroughputStream

98tok/s

SWE-bench: 33%

Recommended by nRouter Smart Routing: Predictable private SLA workloads. Key operational strength: 310ms p50 latency on optimized vLLM backends.

Pricing

Rates are read live

Pricing for Llama-3.3-70B-Instruct is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Llama 3.3.70B-Instruct is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from Meta

llama4-maverick-17b-instructLlama-4-Maverick-17B-128E-Instruct-FP8llama3-3-70b-instructLlama-4-Scout-17B-16E-Instruct

Start building with Llama-3.3-70B-Instruct

One API key, three steps. Choose your tool to begin.

  1. Get a key

    Create API key

  2. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"

  3. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · azure_ai/Llama-3.3-70B-Instruct
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with azure_ai/Llama-3.3-70B-Instruct
claude --model azure_ai/Llama-3.3-70B-Instruct

Questions? Answers.

What is Llama 3.3.70B-Instruct?

Llama 3.3.70B-Instruct is a chat model made by Meta, served on nRouter.

How much does Llama 3.3.70B-Instruct cost?

Llama 3.3.70B-Instruct is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

Does Llama 3.3.70B-Instruct support tool calling and structured outputs?

Yes. Llama 3.3.70B-Instruct supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.

What inputs and outputs does Llama 3.3.70B-Instruct support?

Llama 3.3.70B-Instruct takes text as input and returns text as output.

How do I use Llama 3.3.70B-Instruct via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "azure_ai/Llama-3.3-70B-Instruct". The quick-start panel above has a copy-paste curl command for this model.

Where is the Llama 3.3.70B-Instruct documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does Meta have?

Other Meta text models on nRouter include Llama 4 Maverick 17B Instruct (nrouter.ai/models/llama4-maverick-17b-instruct), Llama 4-Maverick 17B 128E-Instruct-FP 8 (nrouter.ai/models/llama-4-maverick-17b-128e-instruct-fp8), Llama 3.3 70B Instruct (nrouter.ai/models/llama3-3-70b-instruct), Llama 4 Scout 17B (16E MoE) (nrouter.ai/models/llama-4-scout-17b-16e-instruct).