Model Comparison

Gemini 3.5 Flash-Lite vs GPT-5.1 Codex HighWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and GPT-5.1 Codex High across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs GPT-5.1 Codex High — which is better?

Gemini 3.5 Flash-Lite (by Google) and GPT-5.1 Codex High (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Gemini 3.5 Flash-Lite is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • cost matters — it's about 4.0x 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 Jul 2026

Choose GPT-5.1 Codex High if…

  • you want predictable pricing at $1.25/M input and $10.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and GPT-5.1 Codex Highdon'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

Gemini 3.5 Flash-Lite costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 4.2x cheaper than GPT-5.1 Codex High ($1.25/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 4.0x cheaper than GPT-5.1 Codex High ($10.00/1M tokens).

In conclusion, GPT-5.1 Codex High is more expensive than Gemini 3.5 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jul 22 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
OpenAI
GPT-5.1 Codex High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to GPT-5.1 Codex High's 400,000 tokens. GPT-5.1 Codex High can generate longer responses up to 128,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-5.1 Codex High
Input400,000 tokens
Output128,000 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.5 Flash-Lite and GPT-5.1 Codex High support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

GPT-5.1 Codex High

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 3.5 Flash-Lite

Proprietary

Closed source

GPT-5.1 Codex High

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while GPT-5.1 Codex High was released on 2025-11-12.

Gemini 3.5 Flash-Lite is 8 months newer than GPT-5.1 Codex High.

Gemini 3.5 Flash-Lite

Jul 21, 2026

1 days ago

8mo newer
GPT-5.1 Codex High

Nov 12, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while GPT-5.1 Codex High's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without GPT-5.1 Codex High's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

GPT-5.1 Codex High

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. GPT-5.1 Codex High is available from OpenAI.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

GPT-5.1 Codex High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and GPT-5.1 Codex High side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
GPT-5.1 Codex High
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
OpenAI
GPT-5.1 Codex High

FAQ

Common questions about Gemini 3.5 Flash-Lite vs GPT-5.1 Codex High.

Which is better, Gemini 3.5 Flash-Lite or GPT-5.1 Codex High?

Gemini 3.5 Flash-Lite (Google) and GPT-5.1 Codex High (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 3.5 Flash-Lite compare to GPT-5.1 Codex High in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. GPT-5.1 Codex High scores AIME 2025: 96.7%.

Is Gemini 3.5 Flash-Lite cheaper than GPT-5.1 Codex High?

Gemini 3.5 Flash-Lite is 4.2x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. GPT-5.1 Codex High costs $1.25/M input and $10.00/M output via openai.

What are the context window sizes for Gemini 3.5 Flash-Lite and GPT-5.1 Codex High?

Gemini 3.5 Flash-Lite supports 1.0M tokens and GPT-5.1 Codex High supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and GPT-5.1 Codex High?

Key differences include context window (1.0M vs 400K), input pricing ($0.30 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and GPT-5.1 Codex High?

Gemini 3.5 Flash-Lite is developed by Google and GPT-5.1 Codex High is developed by OpenAI.