Model Comparison

GPT-4 Turbo vs o3-mini

o3-mini significantly outperforms across most benchmarks. o3-mini is 7.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 Turbo outperforms in 0 benchmarks, while o3-mini is better at 4 benchmarks (GPQA, MATH, MGSM, MMLU).

o3-mini significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o3-mini costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 9.1x more expensive than o3-mini ($1.10/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 6.8x more expensive than o3-mini ($4.40/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than o3-mini.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-mini accepts 200,000 input tokens compared to GPT-4 Turbo's 128,000 tokens. o3-mini can generate longer responses up to 100,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Tue Apr 07 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-4 Turbo

Proprietary

Closed source

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while o3-mini was released on 2025-01-30.

o3-mini is 10 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.0 years ago

o3-mini

Jan 30, 2025

1.2 years ago

9mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a knowledge cutoff of 2023-12-31, while o3-mini has a cutoff of 2023-09-30.

GPT-4 Turbo has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).

GPT-4 Turbo

Dec 2023

3 mo newer
o3-mini

Sep 2023

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. o3-mini is available from Azure, OpenAI.

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
OpenAI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (77.2% vs 48.0%)
Higher MATH score (97.9% vs 72.6%)
Higher MGSM score (92.0% vs 88.5%)
Higher MMLU score (86.9% vs 86.5%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
OpenAI
o3-mini

FAQ

Common questions about GPT-4 Turbo vs o3-mini

o3-mini significantly outperforms across most benchmarks. GPT-4 Turbo is made by OpenAI and o3-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.
o3-mini is 9.1x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. o3-mini costs $1.10/M input and $4.40/M output via azure.
GPT-4 Turbo supports 128K tokens and o3-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 200K), input pricing ($10.00 vs $1.10/M). See the full comparison above for benchmark-by-benchmark results.