Model Comparison

Gemini 2.0 Flash vs GPT-5 Codex

Comparing Gemini 2.0 Flash and GPT-5 Codex across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash and GPT-5 Codex don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-5 Codex
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas GPT-5 Codex does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

GPT-5 Codex

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash

Proprietary

Closed source

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-5 Codex was released on 2025-09-15.

GPT-5 Codex is 10 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.4 years ago

GPT-5 Codex

Sep 15, 2025

7 months ago

9mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-5 Codex has a cutoff of 2024-09-30.

GPT-5 Codex has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Gemini 2.0 Flash (2024-08-01).

Gemini 2.0 Flash

Aug 2024

GPT-5 Codex

Sep 2024

1 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
OpenAI
GoogleGemini 2.0 Flash
OpenAIGPT-5 Codex
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
OpenAI
GPT-5 Codex

FAQ

Common questions about Gemini 2.0 Flash vs GPT-5 Codex

Gemini 2.0 Flash (Google) and GPT-5 Codex (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. GPT-5 Codex scores SWE-Bench Verified: 74.5%.
Gemini 2.0 Flash 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.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.0 Flash is developed by Google and GPT-5 Codex is developed by OpenAI.