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GPT-4 Turbo vs GPT-4 Turbo 1106: Benchmarks, Pricing, and Context Window Comparison

GPT-4 Turbo vs GPT-4 Turbo 1106 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-4 Turbo 1106 has lower listed token pricing, while GPT-4 Turbo can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
GPT-4 Turbo
to
GPT-4 Turbo 1106
Overview
GPT-4 Turbo was released the same time GPT-4 Turbo 1106.
GPT-4 Turbo
GPT-4 Turbo 1106
Provider
The entity that provides this model.
OpenAI
OpenAI
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4,096
tokens
4,096
tokens
Release Date
When the model was first released.
2023-11-06
2023-11-06
Leaderboard
GPT-4 Turbo
GPT-4 Turbo 1106
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 Turbo
GPT-4 Turbo 1106
Input
Cost of input data provided to the model.
$10.00
per million tokens
$10.00
per million tokens
Output
Cost of output tokens generated by the model.
$30.00
per million tokens
$30.00
per million tokens
Benchmarks
Compare relevant benchmarks between GPT-4 Turbo and GPT-4 Turbo 1106 Instruct.
GPT-4 Turbo
GPT-4 Turbo 1106
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
Benchmark not available.
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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Mirai Minds