LLM Reference

Llama 2 7B

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

Llama 2 7B 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
7B
Architecture
Decoder Only
Knowledge cutoff
2022-09
Specialization
general
Training
finetuned
Created by
AI at MetaAI at Meta

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 1 route · Fireworks AI

Providers(1)
Fireworks AI
View 1 provider route

About

The Llama 2 7B model is a powerful generative text model developed by Meta, featuring 7 billion parameters and utilizing an optimized transformer architecture. Trained on 2 trillion tokens from diverse public sources, it excels in various NLP tasks, particularly dialogue applications. The model has been fine-tuned for helpfulness and safety using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF). It outperforms many open-source chat models and competes with popular closed-source alternatives. AI engineers can easily integrate this model into their projects for advanced natural language understanding and generation capabilities through Hugging Face .

Llama 2 7B 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 $0.2 input and $0.2 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 35.9, HellaSwag 85.1, and HumanEval 45.1.

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

Coding

Q/$ B

1 relevant benchmark in the decision map.

Classification

Q/$ B

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$0.200$0.200
Serverless

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

HumanEvalRank 80 of 86
o3
96.7
Grok-3
94.5
GPT-5.5
94.2
Gemini 2.5 Pro
93.1
Llama 2 7Bcurrent
45.1

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&A35.9diamondresearch
HellaSwag85.110-shotresearch
HumanEval45.1pass@1research
Massive Multitask Language Understanding63.55-shotresearch

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(9)

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Comparison and alternatives

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