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Gemini 4 Argon vs GPT-3.5 Turbo

Gemini 4 Argon leads the LLM Stats Score 55.1 to -9.4.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to -9.4, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
GPT-3.5 Turbo
OpenAI
Core performance indexes
LLM Stats Score
55.1
#4
-9.4
#380
Reasoning
52.4
#7
-8.7
#373
Coding
44.1
#4
-4.5
#273
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
—
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
GPT-3.5 Turbo
Vision
36.8#8
-16.2#219
Multimodal
36.9#8
-14.4#180
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 8 for GPT-3.5 Turbo

No common benchmarks found

Gemini 4 Argon and GPT-3.5 Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

GPT-3.5 Turbo

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 4 Argon

Proprietary

Closed source

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while GPT-3.5 Turbo was released on 2023-03-21.

Gemini 4 Argon is 43 months newer than GPT-3.5 Turbo.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

3.5yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.6 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Gemini 4 Argon's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

GPT-3.5 Turbo

Sep 2021

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs GPT-3.5 Turbo.

Which is better, Gemini 4 Argon or GPT-3.5 Turbo?

Gemini 4 Argon leads the LLM Stats Score 55.1 to -9.4. Gemini 4 Argon is made by Google and GPT-3.5 Turbo 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 4 Argon compare to GPT-3.5 Turbo in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

What are the context window sizes for Gemini 4 Argon and GPT-3.5 Turbo?

Gemini 4 Argon supports an unknown number of tokens and GPT-3.5 Turbo supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and GPT-3.5 Turbo?

Key differences include LLM Stats Score (55.1 vs -9.4), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and GPT-3.5 Turbo?

Gemini 4 Argon is developed by Google and GPT-3.5 Turbo is developed by OpenAI.

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