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Gemini 1.0 Pro vs GPT-4 32K 0613: Benchmarks, Pricing, and Context Window Comparison

Gemini 1.0 Pro vs GPT-4 32K 0613 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

Gemini 1.0 Pro 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
Gemini 1.0 Pro
to
GPT-4 32K 0613
Overview
Gemini 1.0 Pro was released 7 months after GPT-4 32K 0613.
Gemini 1.0 Pro
GPT-4 32K 0613
Provider
The entity that provides this model.
Google
OpenAI
Input Context Window
The number of tokens supported by the input context window.
32.8K
tokens
32.8K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
Not specified.
Release Date
When the model was first released.
2023-12-13
2023-06-13
Leaderboard
Gemini 1.0 Pro
GPT-4 32K 0613
Rank
25
Unknown
Arena Elo
1115
Not specified.
95% CI
+6/-6
Not specified.
Votes
6818
Not specified.
License
Proprietary
Not specified.
Knowledge Cutoff
4/2023
Unknown
Pricing
Gemini 1.0 Pro
GPT-4 32K 0613
Input
Cost of input data provided to the model.
$12.50
per million tokens
$60.00
per million tokens
Output
Cost of output tokens generated by the model.
$37.50
per million tokens
$120.00
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 1.0 Pro and GPT-4 32K 0613 Instruct.
Gemini 1.0 Pro
GPT-4 32K 0613
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
71.8
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
47.9
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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