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Gemini 3.7 Flash vs GPT-5 Codex

Comparing Gemini 3.7 Flash and GPT-5 Codex across benchmarks, pricing, and capabilities.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 3.7 Flash and GPT-5 Codex trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • you want the most recent training data — it shipped Aug 2026

Choose GPT-5 Codex

  • you are already invested in the OpenAI ecosystem

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
GPT-5 Codex
OpenAI
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Sep 2025
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and GPT-5 Codexdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,048,576 tokens). Only Gemini 3.7 Flash specifies output context (65,536 tokens).

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.7 Flash supports multimodal inputs, whereas GPT-5 Codex does not.

Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.7 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 3.7 Flash

Proprietary

Closed source

GPT-5 Codex

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while GPT-5 Codex was released on 2025-09-15.

Gemini 3.7 Flash is 11 months newer than GPT-5 Codex.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

11mo newer
GPT-5 Codex

Sep 15, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while GPT-5 Codex has a cutoff of 2024-09-30.

Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to GPT-5 Codex (2024-09-30).

Gemini 3.7 Flash

Mar 2026

1.5 yr 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 3.7 Flash and GPT-5 Codex side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
GPT-5 Codex
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs GPT-5 Codex.

Which is better, Gemini 3.7 Flash or GPT-5 Codex?

Gemini 3.7 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.

How does Gemini 3.7 Flash compare to GPT-5 Codex in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. GPT-5 Codex scores SWE-Bench Verified: 74.5%.

What are the context window sizes for Gemini 3.7 Flash and GPT-5 Codex?

Gemini 3.7 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.

What are the main differences between Gemini 3.7 Flash and GPT-5 Codex?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and GPT-5 Codex?

Gemini 3.7 Flash is developed by Google and GPT-5 Codex is developed by OpenAI.

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