Gemini 3 Flash vs GPT-5.2
GPT-5.2 leads the LLM Stats Score 41.9 to 37.0. Gemini 3 Flash is 4.3x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
GPT-5.2 leads the overall LLM Stats Score 41.9 to 37.0, ranking #43 overall.
In the 13 individual benchmarks reported for both models, GPT-5.2 wins 8; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 3 Flash is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Flash 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 Flash
- cost matters — it's about 4.3x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose GPT-5.2
- overall performance matters — it scores 41.9 and ranks #43 on LLM Stats
- you value its reported benchmark strengths — it wins 8 of 13 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for Gemini 3 Flash · 24 for GPT-5.2
Gemini 3 Flash outperforms in 5 benchmarks (Humanity's Last Exam, MMMLU, MMMU-Pro, Toolathlon, VideoMMMU), while GPT-5.2 is better at 8 benchmarks (AIME 2025, ARC-AGI v2, CharXiv-R, GPQA, LiveBench, MCP Atlas, ScreenSpot Pro, SWE-Bench Verified).
GPT-5.2 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Flash ($0.50/1M tokens) is 3.5x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) is 4.7x cheaper than GPT-5.2 ($14.00/1M tokens).
In conclusion, GPT-5.2 is more expensive than Gemini 3 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Flash accepts 1,000,000 input tokens compared to GPT-5.2's 400,000 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while Gemini 3 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3 Flash and GPT-5.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Flash
GPT-5.2
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 Flash was released on 2025-12-17, while GPT-5.2 was released on 2025-12-11.
Gemini 3 Flash is 0 month newer than GPT-5.2.
Dec 17, 2025
8 months ago
6d newerDec 11, 2025
8 months ago
Knowledge Cutoff
When training data ends
Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while GPT-5.2 has a cutoff of 2025-08-25.
GPT-5.2 has more recent training data (up to 2025-08-25), making it potentially better informed about events through that date compared to Gemini 3 Flash (2025-01-31).
Jan 2025
Aug 2025
7 mo newerProvider Availability
Gemini 3 Flash is available from Google. GPT-5.2 is available from OpenAI.
Gemini 3 Flash
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3 Flash and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3 Flash vs GPT-5.2.