Gemini 1.5 Pro vs Gemini 1.5 Flash Comparison

Comparing Gemini 1.5 Pro and Gemini 1.5 Flash across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

22 benchmarks

Gemini 1.5 Pro outperforms in 21 benchmarks (AMC_2022_23, BIG-Bench Hard, FunctionalMATH, GPQA, GSM8k, HellaSwag, HiddenMath, HumanEval, MATH, MathVista, MGSM, MMLU, MMLU-Pro, MMMU, MRCR, Natural2Code, PhysicsFinals, Vibe-Eval, Video-MME, WMT23, XSTest), while Gemini 1.5 Flash is better at 1 benchmark (FLEURS).

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Sat Mar 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 16.7x more expensive than Gemini 1.5 Flash ($0.15/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 16.7x more expensive than Gemini 1.5 Flash ($0.60/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Gemini 1.5 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 21 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Gemini 1.5 Flash's 1,048,576 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Sat Mar 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Gemini 1.5 Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Pro

Text
Images
Audio
Video

Gemini 1.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.5 Pro

Proprietary

Closed source

Gemini 1.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Both models were released on 2024-05-01.

They likely represent similar generations of model development.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Gemini 1.5 Flash

May 1, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2023-11-01.

They should have similar awareness of historical events and information up to this date.

Gemini 1.5 Pro

Nov 2023

Gemini 1.5 Flash

Nov 2023

Provider Availability

Gemini 1.5 Pro is available from Google. Gemini 1.5 Flash is available from Google. The availability of providers can affect quality of the model and reliability.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Higher AMC_2022_23 score (46.4% vs 34.8%)
Higher BIG-Bench Hard score (89.2% vs 85.5%)
Higher FunctionalMATH score (64.6% vs 53.6%)
Higher GPQA score (59.1% vs 51.0%)
Higher GSM8k score (90.8% vs 86.2%)
Higher HellaSwag score (93.3% vs 86.5%)
Higher HiddenMath score (52.0% vs 47.2%)
Higher HumanEval score (84.1% vs 74.3%)
Higher MATH score (86.5% vs 77.9%)
Higher MathVista score (68.1% vs 65.8%)
Higher MGSM score (87.5% vs 82.6%)
Higher MMLU score (85.9% vs 78.9%)
Higher MMLU-Pro score (75.8% vs 67.3%)
Higher MMMU score (65.9% vs 62.3%)
Higher MRCR score (82.6% vs 71.9%)
Higher Natural2Code score (85.4% vs 79.8%)
Higher PhysicsFinals score (63.9% vs 57.4%)
Higher Vibe-Eval score (53.9% vs 48.9%)
Higher Video-MME score (78.6% vs 76.1%)
Higher WMT23 score (75.1% vs 74.1%)
Higher XSTest score (98.8% vs 97.0%)
Google
Less expensive input tokens
Less expensive output tokens
Higher FLEURS score (9.6% vs 6.7%)
GoogleGemini 1.5 Pro
GoogleGemini 1.5 Flash
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Google
Gemini 1.5 Flash