Gemini 1.5 Flash vs GPT-4
Gemini 1.5 Flash and GPT-4 are closely matched at 6.6 and 3.7 on the LLM Stats Score. Gemini 1.5 Flash is 142.9x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 1.5 Flash and GPT-4 are closely matched on the overall LLM Stats Score at 6.6 and 3.7.
In the 6 individual benchmarks reported for both models, Gemini 1.5 Flash wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 1.5 Flash is roughly 142.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 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 1.5 Flash
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
- cost matters — it's about 142.9x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped May 2024
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Gemini 1.5 Flash · 12 for GPT-4
Gemini 1.5 Flash outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MGSM), while GPT-4 is better at 2 benchmarks (HellaSwag, MMLU).
Gemini 1.5 Flash 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 1.5 Flash ($0.15/1M tokens) is 200.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 100.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than Gemini 1.5 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash accepts 1,048,576 input tokens compared to GPT-4's 32,768 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while Gemini 1.5 Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 1.5 Flash and GPT-4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Flash
GPT-4
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 1.5 Flash was released on 2024-05-01, while GPT-4 was released on 2023-06-13.
Gemini 1.5 Flash is 11 months newer than GPT-4.
May 1, 2024
2.3 years ago
10mo newerJun 13, 2023
3.2 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Flash has a knowledge cutoff of 2023-11-01, while GPT-4 has a cutoff of 2022-12-31.
Gemini 1.5 Flash has more recent training data (up to 2023-11-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Nov 2023
11 mo newerDec 2022
Provider Availability
Gemini 1.5 Flash is available from Google. GPT-4 is available from Azure, OpenAI.
Gemini 1.5 Flash
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash vs GPT-4.