Models / Llama 3.3 70B-InstructID: azure_ai/Llama-3.3-70B-Instruct
chat model by Meta

Llama 3.3 70B-Instruct

Llama 3.3 70B-Instruct is a chat model made by Meta, served on nRouter.

PlaygroundQuick Start
Maker

Meta

Served On

Azure Foundry

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 131.1K tokens. Not ranked, no published context window: glm-5.3-prime, qwen3-235b-a22b-2507, qwen3.7-max-2026-05-17, claude-opus-5-5.

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-instructmeta.llama-3.2-11b-vision-instructllama-4-maverick-17b-128e-instruct-maasmeta.llama-3.1-405b-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