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Gemini 1.5 Flash vs Gemini 1.5 Pro

Gemini 1.5 Pro leads the LLM Stats Score 12.5 to 6.6. Gemini 1.5 Flash is 16.7x cheaper per token.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Pro leads the overall LLM Stats Score 12.5 to 6.6, ranking #233 overall.

In the 22 individual benchmarks reported for both models, Gemini 1.5 Pro wins 22; this is a narrower head-to-head signal than the composite indexes.

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 LLM Stats indexes, shared benchmarks, 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

  • overall performance matters — it scores 12.5 and ranks #233 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 22 of 22 exact shared results
  • you process long inputs — it offers a 2,097,152 token context window

At a glance

The differences that matter most.

Core performance indexes
6.6
#272
12.5
#233
6.2
#271
12.2
#229
-0.3
#227
4.5
#193
Cost, coverage & limits
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

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Gemini 1.5 Flash
Gemini 1.5 Pro
11.0#233
17.1#186
6.0#143
9.8#120
9.5#112
13.8#92
6.2#151
16.7#103
6.2#138
16.7#88
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Gemini 1.5 Flash · 23 for Gemini 1.5 Pro

22 shared

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.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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
Sun Aug 30 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
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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 leads the LLM Stats Score 12.5 to 6.6. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (6.6 vs 12.5), 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.