The AI arena is free today

Open Superagent

GPT-3.5 Turbo vs Parse

Comparing GPT-3.5 Turbo and Parse across benchmarks, pricing, and capabilities.

OpenAI · Cohere · Updated for 2026

Which is better?

GPT-3.5 Turbo and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

GPT-3.5 Turbo also accepts a larger context window (16,385 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-3.5 Turbo

  • you process long inputs — it offers a 16,385 token context window

Choose Parse

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385
8,192

Individual benchmarks

8 reported for GPT-3.5 Turbo · 1 for Parse

No common benchmarks found

GPT-3.5 Turbo and Parsedon'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

GPT-3.5 Turbo accepts 16,385 input tokens compared to Parse's 8,192 tokens. Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Parse 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

Parse

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

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Parse was released on 2026-08-27.

Parse is 42 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.4 years ago

Parse

Aug 27, 2026

4 days ago

3.4yr newer

Knowledge Cutoff

When training data ends

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

GPT-3.5 Turbo

Sep 2021

Parse

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Parse is available from Azure, Cohere.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

GPT-3.5 Turbo
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about GPT-3.5 Turbo vs Parse.

Which is better, GPT-3.5 Turbo or Parse?

GPT-3.5 Turbo (OpenAI) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-3.5 Turbo compare to Parse in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Parse scores ParseBench: 79.2%.

What are the context window sizes for GPT-3.5 Turbo and Parse?

GPT-3.5 Turbo supports 16K tokens and Parse supports 8K 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 Parse?

Key differences include context window (16K vs 8K), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-3.5 Turbo and Parse?

GPT-3.5 Turbo is developed by OpenAI and Parse is developed by Cohere.