Model Comparison

Gemini 1.0 Pro vs GPT-3.5 TurboWhich is better in 2026?

Gemini 1.0 Pro has a slight edge in benchmark performance. Gemini 1.0 Pro and GPT-3.5 Turbo cost the same.

Verdict: Gemini 1.0 Pro vs GPT-3.5 Turbo — which is better?

Gemini 1.0 Pro (by Google) and GPT-3.5 Turbo (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.

Gemini 1.0 Pro outperforms in 3 benchmarks (MathVista, MMLU, MMMU), while GPT-3.5 Turbo is better at 2 benchmarks (GPQA, MATH). Gemini 1.0 Pro has a slight edge in benchmark performance.

Gemini 1.0 Pro also accepts a larger context window (32,760 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you process long inputs — it offers a 32,760 token context window
  • you want the most recent training data — it shipped Feb 2024

Choose GPT-3.5 Turbo if…

  • you want predictable pricing at $0.50/M input and $1.50/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 1.0 Pro outperforms in 3 benchmarks (MathVista, MMLU, MMMU), while GPT-3.5 Turbo is better at 2 benchmarks (GPQA, MATH).

Gemini 1.0 Pro has a slight edge in benchmark performance.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) costs the same as GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) costs the same as GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, Gemini 1.0 Pro and GPT-3.5 Turbo cost the same.*

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

Lowest available price from all providers
Wed Jun 10 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.0 Pro accepts 32,760 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Gemini 1.0 Pro can generate longer responses up to 8,192 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Wed Jun 10 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.0 Pro

Proprietary

Closed source

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while GPT-3.5 Turbo was released on 2023-03-21.

Gemini 1.0 Pro is 11 months newer than GPT-3.5 Turbo.

Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

11mo newer
GPT-3.5 Turbo

Mar 21, 2023

3.2 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.

Gemini 1.0 Pro has more recent training data (up to 2024-02-01), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

Gemini 1.0 Pro

Feb 2024

2.4 yr newer
GPT-3.5 Turbo

Sep 2021

Provider Availability

Gemini 1.0 Pro is available from Google. GPT-3.5 Turbo is available from Azure, OpenAI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (32,760 tokens)
Higher MathVista score (46.6% vs 0.0%)
Higher MMLU score (71.8% vs 69.8%)
Higher MMMU score (47.9% vs 0.0%)
OpenAI
Higher GPQA score (30.8% vs 27.9%)
Higher MATH score (43.1% vs 32.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about Gemini 1.0 Pro vs GPT-3.5 Turbo.

Which is better, Gemini 1.0 Pro or GPT-3.5 Turbo?

Gemini 1.0 Pro has a slight edge in benchmark performance. Gemini 1.0 Pro is made by Google and GPT-3.5 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to GPT-3.5 Turbo in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

Is Gemini 1.0 Pro cheaper than GPT-3.5 Turbo?

Both models cost $0.50 per million input tokens.

What are the context window sizes for Gemini 1.0 Pro and GPT-3.5 Turbo?

Gemini 1.0 Pro supports 33K 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 1.0 Pro and GPT-3.5 Turbo?

Key differences include context window (33K vs 16K). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and GPT-3.5 Turbo?

Gemini 1.0 Pro is developed by Google and GPT-3.5 Turbo is developed by OpenAI.

Related comparisons