Model Comparison

GPT-5 High vs DeepSeek-V3.1

GPT-5 High significantly outperforms across most benchmarks. DeepSeek-V3.1 is 7.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5 High outperforms in 2 benchmarks (AIME 2025, GPQA), while DeepSeek-V3.1 is better at 0 benchmarks.

GPT-5 High significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, GPT-5 High ($1.25/1M tokens) is 4.6x more expensive than DeepSeek-V3.1 ($0.27/1M tokens).

For output processing, GPT-5 High ($10.00/1M tokens) is 10.0x more expensive than DeepSeek-V3.1 ($1.00/1M tokens).

In conclusion, GPT-5 High is more expensive than DeepSeek-V3.1.*

* 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-5 High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 High accepts 400,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GPT-5 High is limited to 128,000 tokens.

OpenAI
GPT-5 High
Input400,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 High supports multimodal inputs, whereas DeepSeek-V3.1 does not.

GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 High

Text
Images
Audio
Video

DeepSeek-V3.1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 High is licensed under a proprietary license, while DeepSeek-V3.1 uses MIT.

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

GPT-5 High

Proprietary

Closed source

DeepSeek-V3.1

MIT

Open weights

Release Timeline

When each model was launched

GPT-5 High was released on 2025-08-07, while DeepSeek-V3.1 was released on 2025-01-10.

GPT-5 High is 7 months newer than DeepSeek-V3.1.

GPT-5 High

Aug 7, 2025

8 months ago

6mo newer
DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-5 High has a documented knowledge cutoff of 2024-09-30, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm GPT-5 High's training data extends to 2024-09-30, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

GPT-5 High

Sep 2024

DeepSeek-V3.1

—

Provider Availability

GPT-5 High is available from OpenAI. DeepSeek-V3.1 is available from DeepInfra, Novita.

GPT-5 High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (94.6% vs 49.8%)
Higher GPQA score (87.3% vs 74.9%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 High
DeepSeek
DeepSeek-V3.1

FAQ

Common questions about GPT-5 High vs DeepSeek-V3.1

GPT-5 High significantly outperforms across most benchmarks. GPT-5 High is made by OpenAI and DeepSeek-V3.1 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5 High scores AIME 2025: 94.6%, GPQA: 87.3%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.
DeepSeek-V3.1 is 4.6x cheaper for input tokens. GPT-5 High costs $1.25/M input and $10.00/M output via openai. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra.
GPT-5 High supports 400K tokens and DeepSeek-V3.1 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 164K), input pricing ($1.25 vs $0.27/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5 High is developed by OpenAI and DeepSeek-V3.1 is developed by DeepSeek.