Model Comparison

DeepSeek-V3.2-Exp vs GPT-4 Turbo

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 49.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Exp outperforms in 1 benchmarks (GPQA), while GPT-4 Turbo is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 37.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 73.2x cheaper than GPT-4 Turbo ($30.00/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Tue May 26 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to GPT-4 Turbo's 128,000 tokens. DeepSeek-V3.2-Exp can generate longer responses up to 65,536 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while GPT-4 Turbo uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2-Exp

MIT

Open weights

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while GPT-4 Turbo was released on 2024-04-09.

DeepSeek-V3.2-Exp is 18 months newer than GPT-4 Turbo.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

1.5yr newer
GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while DeepSeek-V3.2-Exp's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

GPT-4 Turbo

Dec 2023

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. GPT-4 Turbo is available from Azure, OpenAI.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (79.9% vs 48.0%)
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
OpenAI
GPT-4 Turbo

FAQ

Common questions about DeepSeek-V3.2-Exp vs GPT-4 Turbo.

Which is better, DeepSeek-V3.2-Exp or GPT-4 Turbo?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and GPT-4 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2-Exp compare to GPT-4 Turbo in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

Is DeepSeek-V3.2-Exp cheaper than GPT-4 Turbo?

DeepSeek-V3.2-Exp is 37.0x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure.

What are the context window sizes for DeepSeek-V3.2-Exp and GPT-4 Turbo?

DeepSeek-V3.2-Exp supports 164K tokens and GPT-4 Turbo supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and GPT-4 Turbo?

Key differences include context window (164K vs 128K), input pricing ($0.27 vs $10.00/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and GPT-4 Turbo?

DeepSeek-V3.2-Exp is developed by DeepSeek and GPT-4 Turbo is developed by OpenAI.