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GPT-4 32K 0613 vs GPT-4o: Benchmarks, Pricing, and Context Window Comparison

GPT-4 32K 0613 vs GPT-4o 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

GPT-4o has lower listed token pricing, while GPT-4 32K 0613 can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
GPT-4 32K 0613
to
GPT-4o
Overview
GPT-4 32K 0613 was released 11 months before GPT-4o.
GPT-4 32K 0613
GPT-4o
Provider
The entity that provides this model.
OpenAI
OpenAI
Input Context Window
The number of tokens supported by the input context window.
32.8K
tokens
128000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
Not specified.
16384
tokens
Release Date
When the model was first released.
2023-06-13
2024-05-13
Leaderboard
GPT-4 32K 0613
GPT-4o
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Not specified.
Knowledge Cutoff
Unknown
Unknown
Pricing
GPT-4 32K 0613
GPT-4o
Input
Cost of input data provided to the model.
$60.00
per million tokens
$2.50
per million tokens
Output
Cost of output tokens generated by the model.
$120.00
per million tokens
$10.00
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4 32K 0613 and GPT-4o Instruct.
GPT-4 32K 0613
GPT-4o
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
88.7
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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