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GPT-4 0613 vs Llama 2 Chat 70B: Benchmarks, Pricing, and Context Window Comparison

GPT-4 0613 vs Llama 2 Chat 70B compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

Llama 2 Chat 70B has lower listed token pricing, while GPT-4 0613 can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
GPT-4 0613
to
Llama 2 Chat 70B
Overview
GPT-4 0613 was released 1 months before Llama 2 Chat 70B.
GPT-4 0613
Llama 2 Chat 70B
Provider
The entity that provides this model.
OpenAI
Meta
Input Context Window
The number of tokens supported by the input context window.
8,192
tokens
4,096
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
2,048
tokens
Release Date
When the model was first released.
2023-06-13
2023-07-18
Leaderboard
GPT-4 0613
Llama 2 Chat 70B
Rank
12
41
Arena Elo
1165
1088
95% CI
+3/-3
+3/-4
Votes
67038
38748
License
Proprietary
Llama 2 Community
Knowledge Cutoff
9/2021
7/2023
Pricing
GPT-4 0613
Llama 2 Chat 70B
Input
Cost of input data provided to the model.
$30.00
per million tokens
$0.65
per million tokens
Output
Cost of output tokens generated by the model.
$60.00
per million tokens
$2.75
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4 0613 and Llama 2 Chat 70B Instruct.
GPT-4 0613
Llama 2 Chat 70B
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
68.9
(5-shot)
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
30.1
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.