Llama 3.1 70B Instruct

Llama 3.1 70B Instruct

Quick answer: Llama 3.1 70B Instruct is Meta's July 2024 70B instruction-tuned open-weight model. It scores 94.8% on AI2 Reasoning Challenge, 86.0% on MMLU, 8.70/10 on MT-Bench, and 25.4% on BigCodeBench. With a 128K-token context window under the Llama 3.1 License, it was the leading open-weight model at its scale at launch.

At a Glance

Where Llama 3.1 70B leads

• 94.8% AI2 Reasoning Challenge — strong scientific reasoning
• 86.0% MMLU — GPT-4-class academic knowledge at open-weight pricing
• 8.70/10 MT-Bench — high-quality instruction following
• 128K context window
• Open weights — self-hostable under Llama 3.1 License
• Foundation for many fine-tuned derivatives (Hermes, Nemotron, etc.)

Where it lags

• Superseded by Llama 4 Maverick and Scout for general use
• 25.4% BigCodeBench — limited complex coding performance
• Text-only: no vision capability
• March 2024 knowledge cutoff
• Dense 70B requires significant GPU VRAM for full-precision inference

Best for: Self-hosted 70B-class deployment; base for fine-tuning; existing integrations built on Llama 3.1 70B; teams requiring Llama 3.1's specific instruction style.

What Llama 3.1 70B Instruct Is

Llama 3.1 70B Instruct was Meta's July 2024 flagship open-weight model, released as part of the Llama 3.1 family alongside 8B and 405B variants. It was the first Llama model with a 128K context window, and at launch, its MMLU score (86.0%) was competitive with GPT-4 class proprietary models.

The model became the standard reference point for open-weight 70B performance in 2024, serving as the base for dozens of fine-tuned variants including Hermes 3 70B, Llama 3.1 Nemotron 70B, and others. Its strong instruction following (8.70 MT-Bench) and academic knowledge make it a reliable general-purpose open-weight model.

For new deployments in 2025+, Llama 4 Maverick provides better performance with 1M context and multimodal capability. Llama 3.1 70B Instruct remains relevant for teams with validated production workflows, specific fine-tuning needs, or hardware constraints that suit a dense 70B architecture.

Specifications

Pricing

Llama 3.1 70B Instruct is available as open weights — free to self-host under the Llama 3.1 License. Available via numerous hosted providers (Together AI, Groq, Fireworks, etc.) at market rates.

Context Window

Llama 3.1 70B Instruct has a 128,000-token context window — roughly 90 pages of text in a single request.

Public Benchmark Scores

Llama 3.1 70B vs Alternatives

Llama 3.1 70B vs 405B: 405B achieves 88.6% MMLU (vs 86.0%) at 6× more parameters and infrastructure cost. For most tasks, 70B provides excellent performance at significantly lower self-hosting cost.

Related Models & Benchmarks

• Compare: Llama 3.1 405B Instruct · Llama 4 Maverick · Hermes 3 70B
• Benchmarks: AI2 Reasoning Challenge · MMLU · MT-Bench

Frequently Asked Questions

Specs from Meta's official Llama 3.1 announcement (July 2024) and Benchgen evaluations. Last updated 2026-07-24.