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Gemini 1.0 Pro vs GPT-4 Turbo: Benchmarks, Pricing, and Context Window Comparison

Gemini 1.0 Pro vs GPT-4 Turbo 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 has lower listed token pricing, while Gemini 1.0 Pro 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 Turbo
Overview
Gemini 1.0 Pro was released 2 months after GPT-4 Turbo.
Gemini 1.0 Pro
GPT-4 Turbo
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
128K
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
8,192
tokens
4,096
tokens
Release Date
When the model was first released.
2023-12-13
2023-11-06
Leaderboard
Gemini 1.0 Pro
GPT-4 Turbo
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 Turbo
Input
Cost of input data provided to the model.
$12.50
per million tokens
$10.00
per million tokens
Output
Cost of output tokens generated by the model.
$37.50
per million tokens
$30.00
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 1.0 Pro and GPT-4 Turbo Instruct.
Gemini 1.0 Pro
GPT-4 Turbo
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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Mirai Minds