Gemini 3.1 Pro vs GPT-5.4 nano
Gemini 3.1 Pro leads the LLM Stats Score 43.4 to 26.7. GPT-5.4 nano is 9.7x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.1 Pro leads the overall LLM Stats Score 43.4 to 26.7, ranking #38 overall.
In the 9 individual benchmarks reported for both models, Gemini 3.1 Pro wins 8; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5.4 nano is roughly 9.7x 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 (1,000,000 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 3.1 Pro
- overall performance matters — it scores 43.4 and ranks #38 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 9 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
Choose GPT-5.4 nano
- cost matters — it's about 9.7x cheaper per token
- you want the most recent training data — it shipped Mar 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for Gemini 3.1 Pro · 15 for GPT-5.4 nano
Gemini 3.1 Pro outperforms in 8 benchmarks (Finance Agent v2, GPQA, Humanity's Last Exam, LiveBench, MCP Atlas, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.0), while GPT-5.4 nano is better at 1 benchmark (MRCR v2 (8-needle)).
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 10.0x more expensive than GPT-5.4 nano ($0.20/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 9.6x more expensive than GPT-5.4 nano ($1.25/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than GPT-5.4 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,000,000 input tokens compared to GPT-5.4 nano's 400,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while GPT-5.4 nano is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.1 Pro and GPT-5.4 nano support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
GPT-5.4 nano
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while GPT-5.4 nano was released on 2026-03-17.
GPT-5.4 nano is 1 month newer than Gemini 3.1 Pro.
Feb 19, 2026
6 months ago
Mar 17, 2026
5 months ago
3w newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while GPT-5.4 nano has a cutoff of 2025-08-31.
GPT-5.4 nano has more recent training data (up to 2025-08-31), making it potentially better informed about events through that date compared to Gemini 3.1 Pro (2025-01-31).
Jan 2025
Aug 2025
7 mo newerProvider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. GPT-5.4 nano is available from OpenAI.
Gemini 3.1 Pro
GPT-5.4 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and GPT-5.4 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs GPT-5.4 nano.