Llama 3.3 70B (DI)

Name: Llama 3.3 70B (DI)
Brand: DeepInfra
Price: 0.230000 USD

Serverless

The most-deployed open-weights chat model in 2025, strong reasoning at 70B with broad inference-provider support.

Llama 3.3 70B (DI) is a efficient AI model from DeepInfra. It costs $0.230 per million input tokens and $0.400 per million output tokens (blended $0.281/M), with a 128,000-token context window.

Profile inherited from upstream Llama 3.3 70B ↗ — this is a hosted variant of the same open-weights model.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →

INPUT

$0.230/M

per million input tokens

OUTPUT

$0.400/M

per million output tokens

BLENDED 70/30

$0.281/M

unchanged

default reference rate · how it is calculated →

CONTEXT

128,000

tokens

What it is good at

Strong open chat baseline
Cheap on Groq/Cerebras
128K context
Wide ecosystem

Typical use cases

Self-hosted production chat
Cost benchmarking
RAG

Benchmarks

vs. best public score

Scores inherited from Llama 3.3 70B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.

MMLU86%

Multitask academic knowledge across 57 subjects.

GPQA Diamond50%

Graduate-level science questions, "Google-proof".

MATH77%

High-school competition math problems.

HumanEval80%

Python function synthesis from docstrings.

LMArena Elo1257 Elo

Crowd-sourced head-to-head preference Elo rating.

Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

More from DeepInfra

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Llama 3.1 405B (DI)

Serverless · 128,000 ctx

in $0.800/Mout $0.800/M

Llama 3.1 70B (DI)

Balanced · 128,000 ctx

in $0.350/Mout $0.400/M

Mistral 7B (DI)

Nano · 32,000 ctx

in $0.070/Mout $0.070/M

Mixtral 8x7B (DI)

MoE · 32,000 ctx

in $0.240/Mout $0.240/M

DeepSeek-R1 (DI)

Reasoning · 64,000 ctx

in $0.550/Mout $2.190/M

Qwen2.5-72B (DI)

Balanced · 128,000 ctx

in $0.350/Mout $0.400/M

Frequently asked questions

How much does Llama 3.3 70B (DI) cost?

Llama 3.3 70B (DI) costs $0.230 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.281 per million tokens.

What is Llama 3.3 70B (DI)'s context window?

Llama 3.3 70B (DI) supports up to 128,000 tokens of context in a single request.

What is Llama 3.3 70B (DI) best for?

Llama 3.3 70B (DI) is well suited to Strong open chat baseline, Cheap on Groq/Cerebras and 128K context.

Who makes Llama 3.3 70B (DI)?

Llama 3.3 70B (DI) is developed and served by DeepInfra.

Terms used on this page

Full glossary →

Token Input tokens Output tokens Price per million tokens Context window Prompt caching Batch API Blended cost