Model Comparison

Gemini 3.1 Pro vs Gemini 3.1 Flash-LiteWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Flash-Lite is 10.0x cheaper per token.

Verdict: Gemini 3.1 Pro vs Gemini 3.1 Flash-Lite — which is better?

Gemini 3.1 Pro (by Google) and Gemini 3.1 Flash-Lite (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3.1 Pro outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro), while Gemini 3.1 Flash-Lite is better at 1 benchmark (MRCR v2 (8-needle)). Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Gemini 3.1 Flash-Lite is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window

Choose Gemini 3.1 Flash-Lite if…

  • cost matters — it's about 10.0x cheaper per token
  • you want the most recent training data — it shipped Mar 2026
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3.1 Pro outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro), while Gemini 3.1 Flash-Lite is better at 1 benchmark (MRCR v2 (8-needle)).

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.1 Flash-Lite costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 10.0x more expensive than Gemini 3.1 Flash-Lite ($0.25/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 10.0x more expensive than Gemini 3.1 Flash-Lite ($1.50/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Gemini 3.1 Flash-Lite.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Google
Gemini 3.1 Flash-Lite
Input tokens$0.25
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Gemini 3.1 Flash-Lite's 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Google
Gemini 3.1 Flash-Lite
Input1,000,000 tokens
Output65,536 tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Gemini 3.1 Flash-Lite support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Gemini 3.1 Flash-Lite

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 3.1 Pro

Proprietary

Closed source

Gemini 3.1 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Gemini 3.1 Flash-Lite was released on 2026-03-03.

Gemini 3.1 Flash-Lite is 0 month newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

Gemini 3.1 Flash-Lite

Mar 3, 2026

3 months ago

1w newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2025-01-31.

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

Gemini 3.1 Pro

Jan 2025

Gemini 3.1 Flash-Lite

Jan 2025

Provider Availability

Gemini 3.1 Pro is available from Google. Gemini 3.1 Flash-Lite is available from Google.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Gemini 3.1 Flash-Lite

google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 86.9%)
Higher Humanity's Last Exam score (51.4% vs 16.0%)
Higher MMMLU score (92.6% vs 88.9%)
Higher MMMU-Pro score (80.5% vs 76.8%)
Google
Less expensive input tokens
Less expensive output tokens
Higher MRCR v2 (8-needle) score (60.1% vs 26.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Google
Gemini 3.1 Flash-Lite

FAQ

Common questions about Gemini 3.1 Pro vs Gemini 3.1 Flash-Lite.

Which is better, Gemini 3.1 Pro or Gemini 3.1 Flash-Lite?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Gemini 3.1 Flash-Lite is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to Gemini 3.1 Flash-Lite in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Gemini 3.1 Flash-Lite scores MMMLU: 88.9%, GPQA: 86.9%, VideoMMMU: 84.8%, MMMU-Pro: 76.8%, CharXiv-R: 73.2%.

Is Gemini 3.1 Pro cheaper than Gemini 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite is 10.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Gemini 3.1 Flash-Lite costs $0.25/M input and $1.50/M output via google.

What are the context window sizes for Gemini 3.1 Pro and Gemini 3.1 Flash-Lite?

Gemini 3.1 Pro supports 1.0M tokens and Gemini 3.1 Flash-Lite supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and Gemini 3.1 Flash-Lite?

Key differences include context window (1.0M vs 1.0M), input pricing ($2.50 vs $0.25/M). See the full comparison above for benchmark-by-benchmark results.

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