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Llama 3.1 8B

Legacy$AffordableRun locally
Meta#76 of 92
CompareChat

Compact 8B model from Meta's Llama 3.1 series. Fast and efficient for on-device and embedded use cases. Superseded by Llama 3.2 and Llama 4 Scout.

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Llama 3.1 8B by Meta has a Capability Index of 50.3, making it below the field average in capability. It ranks #76 out of 92 models on the idapt capability leaderboard. Llama 3.1 8B is somewhat expensive at $0.05/M tokens input and $0.08/M tokens output. Cached input reads are priced at $0.02/M tokens, making repeated context cheaper. The model supports a 131K context window.

Best forCost-effective

Benchmarks

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

Category Rankings

Capability
#76of 92
Math
#61of 70
Reasoning
#75of 78

Specifications

Vision
Audio
Reasoning
Dense
Architecture
8B
Parameters
131K
Context
66K
Max output
4.9 GB-8.5 GB
Local download
8.0 GB-12 GB
Local RAM

Performance

Providers

Run locally

Run Llama 3.1 8B 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
4.9 GB-8.5 GB
Recommended RAM
8.0 GB-12 GB

ollama pull llama3.1:8b-instruct-q4_K_M

Misc

July 23, 2024
Released
CompareChat with Llama 3.1 8B

Compare with

OpenAIGPT 5.6 Solvs Llama 3.1 8BOpenAIGPT 5.6 Lunavs Llama 3.1 8BAnthropicClaude Fable 5vs Llama 3.1 8BAnthropicClaude Opus 4.8vs Llama 3.1 8BAnthropicClaude Sonnet 5vs Llama 3.1 8BAnthropicClaude Haiku 4.5vs Llama 3.1 8BGoogleGemini 3.6 Flashvs Llama 3.1 8BGoogleGemini 3.5 Flashvs Llama 3.1 8BGoogleGemini 3.5 Flash-Litevs Llama 3.1 8BGoogleGemma 4 31Bvs Llama 3.1 8BxAIGrok 4.5vs Llama 3.1 8BxAIGrok Build 0.1vs Llama 3.1 8BxAIGrok 4.1 Fastvs Llama 3.1 8BMetaMuse Spark 1.1vs Llama 3.1 8BDeepSeekDeepSeek V4 Provs Llama 3.1 8BDeepSeekDeepSeek V4 Flashvs Llama 3.1 8BMiniMaxMiniMax M3vs Llama 3.1 8BMoonshotAIKimi K3vs Llama 3.1 8BMoonshotAIKimi K2.7 Codevs Llama 3.1 8BZhipu AIGLM 5.2vs Llama 3.1 8BQwenQwen3.7 Maxvs Llama 3.1 8BQwenQwen3.7 Plusvs Llama 3.1 8BQwenQwen3 Coder Nextvs Llama 3.1 8BNVIDIANemotron 3 Ultravs Llama 3.1 8BMistral AIMistral Small 4vs Llama 3.1 8B
Frequently Asked Questions about Llama 3.1 8B▼

When was Llama 3.1 8B released?

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Llama 3.1 8B was released on July 23, 2024.

Who created Llama 3.1 8B?

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Llama 3.1 8B was created by Meta.

How capable is Llama 3.1 8B?

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Llama 3.1 8B has a Capability Index of 50.3/100, making it below the field average in capability. It ranks #76 out of 92 models.

How much does Llama 3.1 8B cost?

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Llama 3.1 8B costs $0.05/M input tokens and $0.08/M output tokens.

What is Llama 3.1 8B API pricing?

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The Llama 3.1 8B API is priced at $0.05 per million input tokens and $0.08 per million output tokens. You can access Llama 3.1 8B through idapt.app alongside 200+ other AI models in one workspace.

Is Llama 3.1 8B a reasoning model?

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No, Llama 3.1 8B 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 3.1 8B support image or vision input?

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No, Llama 3.1 8B does not currently support image or vision input. It is a text-only model.

Does Llama 3.1 8B support audio?

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No, Llama 3.1 8B does not support audio input.

What is the context window of Llama 3.1 8B?

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Llama 3.1 8B has a context window of 131K tokens, meaning it can process approximately 98,304 words of context at once.

Is Llama 3.1 8B open source?

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Llama 3.1 8B is a proprietary model developed by Meta. The model weights and training data are not publicly available.

Where can I use Llama 3.1 8B?

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You can chat with Llama 3.1 8B 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 3.1 8B through Meta's own API or platform.

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