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Gemini 2.5 Flash-Lite vs GPT-5 Codex

GPT-5 Codex leads the LLM Stats Score 26.6 to 10.4.

Google · OpenAI · Updated for 2026

Which is better?

GPT-5 Codex leads the overall LLM Stats Score 26.6 to 10.4, ranking #149 overall.

In the 1 individual benchmarks reported for both models, GPT-5 Codex wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.5 Flash-Lite

  • you need open weights you can self-host or fine-tune

Choose GPT-5 Codex

  • overall performance matters — it scores 26.6 and ranks #149 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Gemini 2.5 Flash-Lite
Google
GPT-5 Codex
OpenAI
Core performance indexes
LLM Stats Score
10.4
#263
26.6
#149
Reasoning
10.9
#257
26.5
#146
Coding
-2.8
#250
19.3
#106
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,048,576
—

Individual benchmarks

13 reported for Gemini 2.5 Flash-Lite · 1 for GPT-5 Codex

1 shared

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while GPT-5 Codex is better at 1 benchmark (SWE-Bench Verified).

GPT-5 Codex significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas GPT-5 Codex does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

GPT-5 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while GPT-5 Codex uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while GPT-5 Codex was released on 2025-09-15.

GPT-5 Codex is 3 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.2 years ago

GPT-5 Codex

Sep 15, 2025

12 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, while GPT-5 Codex has a cutoff of 2024-09-30.

Gemini 2.5 Flash-Lite has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to GPT-5 Codex (2024-09-30).

Gemini 2.5 Flash-Lite

Jan 2025

4 mo newer
GPT-5 Codex

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and GPT-5 Codex side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
GPT-5 Codex
Open in Playground

FAQ

Common questions about Gemini 2.5 Flash-Lite vs GPT-5 Codex.

Which is better, Gemini 2.5 Flash-Lite or GPT-5 Codex?

GPT-5 Codex leads the LLM Stats Score 26.6 to 10.4. Gemini 2.5 Flash-Lite is made by Google and GPT-5 Codex is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.5 Flash-Lite compare to GPT-5 Codex in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. GPT-5 Codex scores SWE-Bench Verified: 74.5%.

What are the context window sizes for Gemini 2.5 Flash-Lite and GPT-5 Codex?

Gemini 2.5 Flash-Lite supports 1.0M tokens and GPT-5 Codex supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Flash-Lite and GPT-5 Codex?

Key differences include LLM Stats Score (10.4 vs 26.6), multimodal support (yes vs no), licensing (Creative Commons Attribution 4.0 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and GPT-5 Codex?

Gemini 2.5 Flash-Lite is developed by Google and GPT-5 Codex is developed by OpenAI.

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