Llama-3.3-70B-Instruct

nscale · Chat model

Llama-3.3-70B-Instruct is listed here as a chat model from nscale. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

nscale-nscale-meta-llama-llama-3-3-70b-instruct

Input

$0.2000 / 1M tokens

Output

$0.2000 / 1M tokens

Cached input

N/A

Context window

N/A

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item	Price
Input	$0.2000 / 1M tokens
Output	$0.2000 / 1M tokens
Embedding	$0.2000 / 1M tokens

Limits

No matching data

Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	-
Parallel function calling	-
Tool choice	-
Prompt caching	-
Reasoning	-
Response schema	-
System messages	-
Audio input	-
Audio output	-
Web search	-
PDF input	-
Video input	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark	Score	Metric	Scope	Checked	Source
MMLU (CoT)	86.0	macro_avg/acc	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
MMLU-Pro (CoT)	68.9	macro_avg/acc	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
GPQA Diamond	50.5	acc	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
HumanEval	88.4	pass@1	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
MATH (CoT)	77.0	sympy_intersection_score	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
MMLU (CoT)	86.0	macro_avg/acc	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
MMLU-Pro (CoT)	68.9	macro_avg/acc	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
IFEval	92.1		Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link
HumanEval	88.4	pass@1	Base model: Llama 3.3 (Llama-3.3 70B Instruct)	2026-05-31	Link

Sources

Source links	Row source LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z

Docs

Official docs

Model docs