ERNIE 4.5 vs Gemini 3.1 Pro
Gemini 3.1 Pro leads the LLM Stats Score 43.4 to -13.4. ERNIE 4.5 is 3.5x cheaper per token.
Baidu · Google · Updated for 2026
Which is better?
Gemini 3.1 Pro leads the overall LLM Stats Score 43.4 to -13.4, ranking #39 overall.
In the 1 individual benchmarks reported for both models, Gemini 3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, ERNIE 4.5 is roughly 3.5x 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 ERNIE 4.5
- cost matters — it's about 3.5x cheaper per token
Choose Gemini 3.1 Pro
- overall performance matters — it scores 43.4 and ranks #39 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Feb 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 ERNIE 4.5 · 20 for Gemini 3.1 Pro
ERNIE 4.5 outperforms in 0 benchmarks, while Gemini 3.1 Pro is better at 1 benchmark (GPQA).
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, ERNIE 4.5 ($0.40/1M tokens) is 5.0x cheaper than Gemini 3.1 Pro ($2.00/1M tokens).
For output processing, ERNIE 4.5 ($4.00/1M tokens) is 3.0x cheaper than Gemini 3.1 Pro ($12.00/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than ERNIE 4.5.*
* 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 ERNIE 4.5's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while ERNIE 4.5 is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.1 Pro supports multimodal inputs, whereas ERNIE 4.5 does not.
Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
ERNIE 4.5
Gemini 3.1 Pro
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
ERNIE 4.5 was released on 2025-06-25, while Gemini 3.1 Pro was released on 2026-02-19.
Gemini 3.1 Pro is 8 months newer than ERNIE 4.5.
Jun 25, 2025
1.2 years ago
Feb 19, 2026
6 months ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while ERNIE 4.5's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without ERNIE 4.5's cutoff date.
—
Jan 2025
Provider Availability
ERNIE 4.5 is available from Novita. Gemini 3.1 Pro is available from DeepInfra, Google.
ERNIE 4.5
Gemini 3.1 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against ERNIE 4.5 and Gemini 3.1 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about ERNIE 4.5 vs Gemini 3.1 Pro.