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Llama 3.3 70B (DI)

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 since 3 May
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

See all 11 →
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 →
TokenInput tokensOutput tokensPrice per million tokensContext windowPrompt cachingBatch APIBlended cost