Gemini 1.5 Flash vs Gemini 1.5 Pro Comparison

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

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Performance Benchmarks

Comparative analysis across standard metrics

22 benchmarks

Gemini 1.5 Flash outperforms in 1 benchmarks (FLEURS), while Gemini 1.5 Pro is better at 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).

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Sat Mar 14 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 Flash ($0.15/1M tokens) is 16.7x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).

For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 16.7x cheaper than Gemini 1.5 Pro ($10.00/1M 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 14 2026 • llm-stats.com

Gemini 1.5 Flash

Input tokens$0.15

Output tokens$0.60

Best providerGoogle

Gemini 1.5 Pro

Input tokens$2.50

Output tokens$10.00

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.

Gemini 1.5 Flash

Input1,048,576 tokens

Output8,192 tokens

Gemini 1.5 Pro

Input2,097,152 tokens

Output8,192 tokens

Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 1.5 Flash

Text

Images

Audio

Video

Gemini 1.5 Pro

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 Flash

Proprietary

Closed source

Gemini 1.5 Pro

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 Flash

May 1, 2024

1.9 years ago

Gemini 1.5 Pro

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 Flash

Nov 2023

Gemini 1.5 Pro

Nov 2023

Provider Availability

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

Gemini 1.5 Flash

Google

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Gemini 1.5 Pro

Google

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Gemini 1.5 Flash

View details

Google

Less expensive input tokens

Less expensive output tokens

Higher FLEURS score (9.6% vs 6.7%)

Gemini 1.5 Pro

View details

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%)

Gemini 1.5 Flash

Gemini 1.5 Pro

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Detailed Comparison

AI Model Comparison Table
Feature	Gemini 1.5 Flash	Gemini 1.5 Pro