Model Comparison

GPT-3.5 Turbo vs o1-mini

o1-mini significantly outperforms across most benchmarks. GPT-3.5 Turbo is 7.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while o1-mini is better at 3 benchmarks (GPQA, HumanEval, MMLU).

o1-mini significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-3.5 Turbo costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 6.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 8.0x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than GPT-3.5 Turbo.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1-mini accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. o1-mini can generate longer responses up to 65,536 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Wed Apr 15 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.

GPT-3.5 Turbo

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while o1-mini was released on 2024-09-12.

o1-mini is 18 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

o1-mini

Sep 12, 2024

1.6 years ago

1.5yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while o1-mini'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 o1-mini's cutoff date.

GPT-3.5 Turbo

Sep 2021

o1-mini

—

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. o1-mini is available from OpenAI, Azure.

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

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Less expensive input tokens
Less expensive output tokens
OpenAI
Larger context window (128,000 tokens)
Higher GPQA score (60.0% vs 30.8%)
Higher HumanEval score (92.4% vs 68.0%)
Higher MMLU score (85.2% vs 69.8%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
OpenAI
o1-mini

FAQ

Common questions about GPT-3.5 Turbo vs o1-mini

o1-mini significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and o1-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
GPT-3.5 Turbo is 6.0x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. o1-mini costs $3.00/M input and $12.00/M output via openai.
GPT-3.5 Turbo supports 16K tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (16K vs 128K), input pricing ($0.50 vs $3.00/M). See the full comparison above for benchmark-by-benchmark results.