GPT-4 vs Llama 2 Chat 13B: Benchmarks, Pricing, and Context Window Comparison
GPT-4 vs Llama 2 Chat 13B 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 13B has lower listed token pricing, while GPT-4 can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
GPT-4 was released 4 months before Llama 2 Chat 13B.
GPT-4 | ||
|---|---|---|
Provider The entity that provides this model. | OpenAI | |
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. | Mar 14, 2023 over 1 yearago 2023-03-14 | Jul 18, 2023 over 1 year 2023-07-18 |
Leaderboard
GPT-4 | ||
|---|---|---|
Rank | Unknown | 54 |
Arena Elo | Not specified. | 1040 |
95% CI | Not specified. | +5/-4 |
Votes | Not specified. | 17602 |
License | Not specified. | Llama 2 Community |
Knowledge Cutoff | Unknown | 7/2023 7/2023 |
Pricing
GPT-4 | ||
|---|---|---|
Input Cost of input data provided to the model. | $30.00 per million tokens | $0.10 per million tokens |
Output Cost of output tokens generated by the model. | $60.00 per million tokens | $0.50 per million tokens |
Benchmarks
Compare relevant benchmarks between GPT-4 and Llama 2 Chat 13B Instruct.
GPT-4 | ||
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 86.4 (5-shot) | 54.8 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 34.9 | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | 95.3 (10-shot) | Benchmark not available. |

GPT-4