DataLearner logoDataLearnerAI
Latest AI Insights
Model Leaderboards
Benchmarks
Model Directory
Model Comparison
Resource Center
Tools
LanguageEnglish
DataLearner logoDataLearner AI

A knowledge platform focused on LLM benchmarking, datasets, and practical instruction with continuously updated capability maps.

Products

  • Leaderboards
  • Model comparison
  • Datasets

Resources

  • Tutorials
  • Editorial
  • Tool directory

Company

  • About
  • Privacy policy
  • Data methodology
  • Contact

© 2026 DataLearner AI. DataLearner curates industry data and case studies so researchers, enterprises, and developers can rely on trustworthy intelligence.

Privacy policyTerms of service
Page navigation
Page navigation
Model catalogGemini 1.5 Pro
GE

Gemini 1.5 Pro

Foundation model

Gemini 1.5 Pro

Release date: 2024-02-15Updated: 2024-02-16 00:05:031,046
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
10000K
Chinese support
Supported
Reasoning ability

Gemini 1.5 Pro is an AI model published by Google Deep Mind, released on 2024-02-15, for Foundation model, and 10000K tokens context length, with no open-source license.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Gemini 1.5 Pro

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
10000K tokens
Max output length
No data
Model type
Foundation model
Release date
2024-02-15
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Gemini 1.5 Pro

Open source & experience

Code license
Not open source
Weights license
Not open source
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
Gemini 1.5 Pro

Official resources

Paper
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
DataLearnerAI blog
No blog post yet
Gemini 1.5 Pro

API details

API speed
No data
No public API pricing yet.
Gemini 1.5 Pro

Benchmark Results

Gemini 1.5 Pro currently shows benchmark results led by MBPP (2 / 28, score 87.80), HumanEval (9 / 39, score 89), MATH (11 / 42, score 82.90). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

4 evaluations
Benchmark / mode
Score
Rank/total
MMLU
Standard Mode
87.10
25 / 65
MMLU Pro
Standard Mode
76.10
74 / 124
GPQA Diamond
Standard Mode
53.50
146 / 175
BBH
Standard Mode
0
19 / 20

Math and Reasoning

2 evaluations
Benchmark / mode
Score
Rank/total
MATH
Standard Mode
82.90
11 / 42
GSM8K
Standard Mode
0
24 / 26

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
HumanEval
Standard Mode
89
9 / 39
MBPP
Standard Mode
87.80
2 / 28

Other Benchmarks

1 evaluations
Benchmark / mode
Score
Rank/total
TruthfulQA
Standard Mode
0
2 / 4
View benchmark analysisCompare with other models

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Gemini 1.5 Pro

Publisher

Google Deep Mind
Google Deep Mind
View publisher details
Gemini 1.5 Pro

Model Overview

Gemini 1.5 Pro is an AI model published by Google Deep Mind, released on 2024-02-15, for Foundation model, and 10000K tokens context length, with no open-source license.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code