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Gemini 3 Pro vs Gemini 3.1 Pro

Gemini 3.1 Pro leads the LLM Stats Score 43.3 to 38.6. Gemini 3 Pro and Gemini 3.1 Pro cost the same.

Google · Google · Updated for 2026

Which is better?

Gemini 3.1 Pro leads the overall LLM Stats Score 43.3 to 38.6, ranking #42 overall.

In the 11 individual benchmarks reported for both models, Gemini 3.1 Pro wins 10; this is a narrower head-to-head signal than the composite indexes.

Gemini 3 Pro also accepts a larger context window (1,048,576 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 3 Pro

  • you process long inputs — it offers a 1,048,576 token context window

Choose Gemini 3.1 Pro

  • overall performance matters — it scores 43.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 10 of 11 exact shared results
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Core performance indexes
38.6
#67
43.3
#42
38.5
#63
45.0
#31
24.5
#75
31.1
#49
15.3
#89
24.4
#54
Cost, coverage & limits
Benchmark wins
1 of 11
10 of 11
Input price
$2.00 / M
$2.00 / M
Output price
$12.00 / M
$12.00 / M
Context window
1,048,576
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 3 Pro
Gemini 3.1 Pro
37.1#31
42.4#5
26.3#42
31.0#27
13.9#96
22.8#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Gemini 3 Pro · 20 for Gemini 3.1 Pro

11 shared

Gemini 3 Pro outperforms in 1 benchmarks (MMMU-Pro), while Gemini 3.1 Pro is better at 9 benchmarks (ARC-AGI v2, GPQA, Humanity's Last Exam, LiveBench, LiveCodeBench Pro, MMMLU, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0).

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

For input processing, Gemini 3 Pro ($2.00/1M tokens) costs the same as Gemini 3.1 Pro ($2.00/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) costs the same as Gemini 3.1 Pro ($12.00/1M tokens).

In conclusion, Gemini 3 Pro and Gemini 3.1 Pro cost the same.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Google
Gemini 3.1 Pro
Input tokens$2.00
Output tokens$12.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Gemini 3.1 Pro's 1,000,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Google
Gemini 3.1 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3 Pro and Gemini 3.1 Pro support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

Gemini 3.1 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 3 Pro

Proprietary

Closed source

Gemini 3.1 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Gemini 3.1 Pro was released on 2026-02-19.

Gemini 3.1 Pro is 3 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

10 months ago

Gemini 3.1 Pro

Feb 19, 2026

7 months ago

3mo 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 Pro

Jan 2025

Gemini 3.1 Pro

Jan 2025

Provider Availability

Gemini 3 Pro is available from Google. Gemini 3.1 Pro is available from DeepInfra, Google.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Gemini 3.1 Pro

deepinfra logo
Deepinfra
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M
google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M
* 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 3 Pro and Gemini 3.1 Pro side-by-side, then vote on the output you prefer.

Gemini 3 Pro
✓ Preferred
Gemini 3.1 Pro
Open in Playground

FAQ

Common questions about Gemini 3 Pro vs Gemini 3.1 Pro.

Which is better, Gemini 3 Pro or Gemini 3.1 Pro?

Gemini 3.1 Pro leads the LLM Stats Score 43.3 to 38.6. Gemini 3 Pro is made by Google and Gemini 3.1 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 3 Pro compare to Gemini 3.1 Pro in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%.

Is Gemini 3 Pro cheaper than Gemini 3.1 Pro?

Both models cost $2.00 per million input tokens.

What are the context window sizes for Gemini 3 Pro and Gemini 3.1 Pro?

Gemini 3 Pro supports 1.0M tokens and Gemini 3.1 Pro 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 Pro and Gemini 3.1 Pro?

Key differences include LLM Stats Score (38.6 vs 43.3), context window (1.0M vs 1.0M). See the full comparison above for benchmark-by-benchmark results.