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Meta

Llama 3.3 70B

$AffordableRun locally
Meta#68 of 92
CompareChat

Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks. Text-only model with strong reasoning and instruction following at a fraction of the cost. Excellent open-weight model for deployment.

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Llama 3.3 70B by Meta has a Capability Index of 61.4, making it below the field average in capability. It ranks #68 out of 92 models on the idapt capability leaderboard. Llama 3.3 70B is somewhat expensive at $0.13/M tokens input and $0.40/M tokens output. The model supports a 131K context window.

Best forFrontier reasoningCost-effective

Benchmarks

CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10

Category Rankings

Capability
#68of 92
Math
#58of 70
Reasoning
#65of 78

Specifications

Vision
Audio
Reasoning
Dense
Architecture
70B
Parameters
131K
Context
66K
Max output
42 GB-75 GB
Local download
48 GB-80 GB
Local RAM

Performance

Providers

Run locally

Run Llama 3.3 70B on your own computer with the Local AI Engine for free, with no rate limits and no third-party AI provider involved. idapt installs it and routes chat to your hardware automatically.

Download
42 GB-75 GB
Recommended RAM
48 GB-80 GB

ollama pull llama3.3:70b-instruct-q4_K_M

Misc

December 6, 2024
Released
Same family
MetaLlama 3 70BMetaLlama 3.1 70BMetaLlama 3.2 3B
CompareChat with Llama 3.3 70B

Compare with

OpenAIGPT 5.6 Solvs Llama 3.3 70BOpenAIGPT 5.6 Lunavs Llama 3.3 70BAnthropicClaude Fable 5vs Llama 3.3 70BAnthropicClaude Opus 4.8vs Llama 3.3 70BAnthropicClaude Sonnet 5vs Llama 3.3 70BAnthropicClaude Haiku 4.5vs Llama 3.3 70BGoogleGemini 3.6 Flashvs Llama 3.3 70BGoogleGemini 3.5 Flashvs Llama 3.3 70BGoogleGemini 3.5 Flash-Litevs Llama 3.3 70BGoogleGemma 4 31Bvs Llama 3.3 70BxAIGrok 4.5vs Llama 3.3 70BxAIGrok Build 0.1vs Llama 3.3 70BxAIGrok 4.1 Fastvs Llama 3.3 70BMetaMuse Spark 1.1vs Llama 3.3 70BDeepSeekDeepSeek V4 Provs Llama 3.3 70BDeepSeekDeepSeek V4 Flashvs Llama 3.3 70BMiniMaxMiniMax M3vs Llama 3.3 70BMoonshotAIKimi K3vs Llama 3.3 70BMoonshotAIKimi K2.7 Codevs Llama 3.3 70BZhipu AIGLM 5.2vs Llama 3.3 70BQwenQwen3.7 Maxvs Llama 3.3 70BQwenQwen3.7 Plusvs Llama 3.3 70BQwenQwen3 Coder Nextvs Llama 3.3 70BNVIDIANemotron 3 Ultravs Llama 3.3 70BMistral AIMistral Small 4vs Llama 3.3 70B
Frequently Asked Questions about Llama 3.3 70B▼

When was Llama 3.3 70B released?

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Llama 3.3 70B was released on December 6, 2024.

Who created Llama 3.3 70B?

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Llama 3.3 70B was created by Meta.

How capable is Llama 3.3 70B?

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Llama 3.3 70B has a Capability Index of 61.4/100, making it below the field average in capability. It ranks #68 out of 92 models.

How much does Llama 3.3 70B cost?

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Llama 3.3 70B costs $0.13/M input tokens and $0.40/M output tokens.

What is Llama 3.3 70B API pricing?

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The Llama 3.3 70B API is priced at $0.13 per million input tokens and $0.40 per million output tokens. You can access Llama 3.3 70B through idapt.app alongside 200+ other AI models in one workspace.

Is Llama 3.3 70B a reasoning model?

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No, Llama 3.3 70B is not a reasoning model. It responds directly without an extended internal thinking step. For tasks requiring deep chain-of-thought reasoning, consider models like Claude, o-series from OpenAI, or Gemini Thinking.

Does Llama 3.3 70B support image or vision input?

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No, Llama 3.3 70B does not currently support image or vision input. It is a text-only model.

Does Llama 3.3 70B support audio?

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No, Llama 3.3 70B does not support audio input.

What is the context window of Llama 3.3 70B?

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Llama 3.3 70B has a context window of 131K tokens, meaning it can process approximately 98,304 words of context at once.

Is Llama 3.3 70B open source?

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Llama 3.3 70B is a proprietary model developed by Meta. The model weights and training data are not publicly available.

Where can I use Llama 3.3 70B?

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You can chat with Llama 3.3 70B on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Llama 3.3 70B through Meta's own API or platform.

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