LLM Reference

Llama 2 70B

Released
2023-07-18
Last refreshed
2026-04-15
Status
Researched 154d ago
Open SourceCodingClassification

Llama 2 70B is worth evaluating for coding and classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding and classification
  • Workloads that can use a 4k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Llama 2
Released
2023-07-18
Context
4k
Parameters
70B
Architecture
Decoder Only
Knowledge cutoff
2022-09
Specialization
general
Training
finetuned
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.900
Input / 1M
$0.900

Cheapest of 1 route · Fireworks AI

About

Llama 2 70B is a state-of-the-art generative text model developed by Meta, featuring 70 billion parameters and optimized for dialogue applications. It utilizes an advanced transformer architecture and has been fine-tuned using supervised learning and RLHF. Pretrained on 2 trillion tokens from diverse public sources, it outperforms many open-source chat models and competes with popular closed-source models in terms of helpfulness and safety. The model is designed for commercial and research applications in English, focusing on assistant-like chat functionalities. It accepts text input and generates text output, making it suitable for various natural language processing tasks .

Llama 2 70B is an open-source model in the Llama 2 family. The structured metadata tracks a 4k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.9 input and $0.9 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 39.1, HellaSwag 88.2, and HumanEval 56.2.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ C

1 relevant benchmark in the decision map.

Classification

Q/$ C

2 relevant benchmarks in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.900$0.900
Serverless

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Google-Proof Q&A39.1diamondhttps://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
HellaSwag88.210-shothttps://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
HumanEval56.2pass@1https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
Massive Multitask Language Understanding68.95-shothttps://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(8)