meta.llama3-3-70b-instruct-v1:0

bedrock_converse · chat model

meta.llama3-3-70b-instruct-v1:0 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input

$0.7200 / 1M tokens

Output

$0.7200 / 1M tokens

Cached input

N/A

Context

4.1K

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	$0.7200 / 1M tokens
Output	$0.7200 / 1M tokens
Embedding	$0.7200 / 1M tokens

Token limits

Context window

4.1K

Max input tokens

128.0K

Max output tokens

4.1K

Max tokens

4.1K

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	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28

Docs

Official docs

manual model modalities source urls

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from

Model	Cost	Input shape	Features	Context	Why it is close
meta.llama3-3-70b-instruct-v1:0 bedrock_converse	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text Output: text	Function calling	4.1K	Current model Reference row

Model	Cost	Input shape	Features	Context	Why it is close
us.meta.llama3-3-70b-instruct-v1:0 bedrock_converse	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text image Output: text	Function calling	4.1K	Same provider Overall 88%
meta.llama3-1-70b-instruct-v1:0 Bedrock	In $0.9900 / 1M tokens Out $0.9900 / 1M tokens	text Output: text	Function calling	2.0K	Text covered Overall 87%
us.meta.llama3-1-70b-instruct-v1:0 Bedrock	In $0.9900 / 1M tokens Out $0.9900 / 1M tokens	text Output: text	Function calling	2.0K	Text covered Overall 87%
Phi-4-mini-reasoning azure_ai	In $0.0800 / 1M tokens Out $0.3200 / 1M tokens	text Output: text	Function calling	4.1K	Text covered Overall 86%
Phi-4-mini-instruct azure_ai	In $0.0750 / 1M tokens Out $0.3000 / 1M tokens	text Output: text	Function calling	4.1K	Text covered Overall 86%
eu.meta.llama3-2-3b-instruct-v1:0 Bedrock	In $0.1900 / 1M tokens Out $0.1900 / 1M tokens	text Output: text	Function calling	4.1K	Text covered Overall 85%
mixtral-8x22b-instruct vercel_ai_gateway	In $1.2000 / 1M tokens Out $1.2000 / 1M tokens	text Output: text	Function calling	2.0K	Text covered Overall 85%
mistral-nemo azure_ai	In $0.1500 / 1M tokens Out $0.1500 / 1M tokens	text Output: text	Function calling	4.1K	Text covered Overall 84%
command-r-plus Azure	In $3.0000 / 1M tokens Out $15.0000 / 1M tokens	text Output: text	Function calling	4.1K	Text covered Overall 83%
meta.llama4-scout-17b-instruct-v1:0 bedrock_converse	In $0.1700 / 1M tokens Out $0.6600 / 1M tokens	text image Output: text	Function calling	4.1K	Same provider Overall 80%
us.meta.llama4-scout-17b-instruct-v1:0 bedrock_converse	In $0.1700 / 1M tokens Out $0.6600 / 1M tokens	text image Output: text	Function calling	4.1K	Same provider Overall 80%
meta.llama4-maverick-17b-instruct-v1:0 bedrock_converse	In $0.2400 / 1M tokens Out $0.9700 / 1M tokens	text image Output: text	Function calling	4.1K	Same provider Overall 79%
us.meta.llama4-maverick-17b-instruct-v1:0 bedrock_converse	In $0.2400 / 1M tokens Out $0.9700 / 1M tokens	text image Output: text	Function calling	4.1K	Same provider Overall 79%
mistral.mistral-large-2402-v1:0 Bedrock	In $8.0000 / 1M tokens Out $24.0000 / 1M tokens	text Output: text	Function calling	8.2K	Text covered Overall 74%
mistral.mistral-large-2402-v1:0 Bedrock	In $10.4000 / 1M tokens Out $31.2000 / 1M tokens	text Output: text	Function calling	8.2K	Text covered Overall 73%
us.writer.palmyra-x5-v1:0 bedrock_converse	In $0.6000 / 1M tokens Out $6.0000 / 1M tokens	text pdf Output: text	Function calling	8.2K	Same provider Overall 69%
meta.llama-3.3-70b-instruct oci	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text Output: unknown	Function calling	4.0K	Partial I/O overlap Overall 60% Missing text
meta.llama-4-maverick-17b-128e-instruct-fp8 oci	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text Output: unknown	Function calling	4.0K	Partial I/O overlap Overall 60% Missing text
meta.llama-4-scout-17b-16e-instruct oci	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text Output: unknown	Function calling	4.0K	Partial I/O overlap Overall 60% Missing text
meta.llama-3.1-70b-instruct oci	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text Output: unknown	Function calling	4.0K	Partial I/O overlap Overall 60% Missing text
meta.llama-3.3-70b-instruct-fp8-dynamic oci	In $0.7200 / 1M tokens Out $0.7200 / 1M tokens	text Output: unknown	Function calling	4.0K	Partial I/O overlap Overall 60% Missing text