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Gemini 1.0 Pro vs GPT-3.5 Turbo

Gemini 1.0 Pro and GPT-3.5 Turbo are closely matched at -4.8 and -8.8 on the LLM Stats Score. Gemini 1.0 Pro and GPT-3.5 Turbo cost the same.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 1.0 Pro and GPT-3.5 Turbo are closely matched on the overall LLM Stats Score at -4.8 and -8.8.

In the 5 individual benchmarks reported for both models, Gemini 1.0 Pro wins 3; this is a narrower head-to-head signal than the composite indexes.

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.

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

Choose Gemini 1.0 Pro

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • 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

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

At a glance

The differences that matter most.

Gemini 1.0 Pro
Google
GPT-3.5 Turbo
OpenAI
Core performance indexes
LLM Stats Score
-4.8
#335
-8.8
#342
Reasoning
-7.4
#334
-8.1
#335
Cost, coverage & limits
Benchmark wins
3 of 5
2 of 5
Input price
$0.50 / M
$0.50 / M
Output price
$1.50 / M
$1.50 / M
Context window
32,760
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.0 Pro
GPT-3.5 Turbo
Math
-1.3#290
-1.9#294
Vision
-8.3#195
-15.9#199
Multimodal
-5.9#156
-14.1#159
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Gemini 1.0 Pro · 8 for GPT-3.5 Turbo

5 shared

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.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Sun Aug 30 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
Sun Aug 30 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

2.5 years ago

11mo newer
GPT-3.5 Turbo

Mar 21, 2023

3.4 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→

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
GPT-3.5 Turbo
Open in Playground

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 and GPT-3.5 Turbo are closely matched on the LLM Stats Score at -4.8 and -8.8. 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 capability indexes, individual benchmarks, pricing, and limits above.

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

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. 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 LLM Stats Score (-4.8 vs -8.8), 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.

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