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Gemini 1.5 Flash vs Gemini 1.5 Pro

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 Flash is 16.7x cheaper per token.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Flash outperforms in 0 benchmarks, while Gemini 1.5 Pro is better at 22 benchmarks (AMC_2022_23, BIG-Bench Hard, FLEURS, 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.

On price, Gemini 1.5 Flash is roughly 16.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 1.5 Flash

  • cost matters — it's about 16.7x cheaper per token

Choose Gemini 1.5 Pro

  • you want the strongest raw capability — it leads on 22 of 22 shared benchmarks
  • you process long inputs — it offers a 2,097,152 token context window

At a glance

The differences that matter most.

Benchmark wins
0 of 22
22 of 22
Input price
$0.15 / M
$2.50 / M
Output price
$0.60 / M
$10.00 / M
Context window
1,048,576
2,097,152
Released
May 2024
May 2024
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

22 benchmarks

Gemini 1.5 Flash outperforms in 0 benchmarks, while Gemini 1.5 Pro is better at 22 benchmarks (AMC_2022_23, BIG-Bench Hard, FLEURS, 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.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

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
Mon Aug 24 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue

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 Flash
Input1,048,576 tokens
Output8,192 tokens
Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Mon Aug 24 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

2.3 years ago

Gemini 1.5 Pro

May 1, 2024

2.3 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.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash and Gemini 1.5 Pro side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash
✓ Preferred
Gemini 1.5 Pro
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash vs Gemini 1.5 Pro.

Which is better, Gemini 1.5 Flash or Gemini 1.5 Pro?

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 Flash is made by Google and Gemini 1.5 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.5 Flash compare to Gemini 1.5 Pro in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%.

Is Gemini 1.5 Flash cheaper than Gemini 1.5 Pro?

Gemini 1.5 Flash is 16.7x cheaper for input tokens. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google.

What are the context window sizes for Gemini 1.5 Flash and Gemini 1.5 Pro?

Gemini 1.5 Flash supports 1.0M tokens and Gemini 1.5 Pro supports 2.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Flash and Gemini 1.5 Pro?

Key differences include context window (1.0M vs 2.1M), input pricing ($0.15 vs $2.50/M). See the full comparison above for benchmark-by-benchmark results.