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GPT-3.5 Turbo vs Grok-1.5V

Grok-1.5V leads the LLM Stats Score -0.6 to -9.2.

OpenAI · xAI · Updated for 2026

Which is better?

Grok-1.5V leads the overall LLM Stats Score -0.6 to -9.2, ranking #315 overall.

In the 2 individual benchmarks reported for both models, Grok-1.5V wins 2; 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 GPT-3.5 Turbo

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

Choose Grok-1.5V

  • overall performance matters — it scores -0.6 and ranks #315 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Apr 2024

At a glance

The differences that matter most.

Core performance indexes
-9.2
#347
-0.6
#315
-8.5
#340
0.1
#302
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-3.5 Turbo
Grok-1.5V
-15.9#200
-1.1#178
-14.1#160
1.2#143
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 7 for Grok-1.5V

2 shared

GPT-3.5 Turbo outperforms in 0 benchmarks, while Grok-1.5V is better at 2 benchmarks (MathVista, MMMU).

Grok-1.5V significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

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).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
xAI
Grok-1.5V
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok-1.5V supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Grok-1.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-3.5 Turbo

Text
Images
Audio
Video

Grok-1.5V

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.

GPT-3.5 Turbo

Proprietary

Closed source

Grok-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Grok-1.5V was released on 2024-04-12.

Grok-1.5V is 13 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.4 years ago

Grok-1.5V

Apr 12, 2024

2.4 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Grok-1.5V'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 Grok-1.5V's cutoff date.

GPT-3.5 Turbo

Sep 2021

Grok-1.5V

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Grok-1.5V side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Grok-1.5V
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs Grok-1.5V.

Which is better, GPT-3.5 Turbo or Grok-1.5V?

Grok-1.5V leads the LLM Stats Score -0.6 to -9.2. GPT-3.5 Turbo is made by OpenAI and Grok-1.5V is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-3.5 Turbo compare to Grok-1.5V in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%.

What are the context window sizes for GPT-3.5 Turbo and Grok-1.5V?

GPT-3.5 Turbo supports 16K tokens and Grok-1.5V 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 GPT-3.5 Turbo and Grok-1.5V?

Key differences include LLM Stats Score (-9.2 vs -0.6), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Grok-1.5V?

GPT-3.5 Turbo is developed by OpenAI and Grok-1.5V is developed by xAI.