DeepSeek-V3.1 vs GPT-5.1 High
GPT-5.1 High leads the LLM Stats Score 35.2 to 22.1. DeepSeek-V3.1 is 8.1x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
GPT-5.1 High leads the overall LLM Stats Score 35.2 to 22.1, ranking #87 overall.
In the 2 individual benchmarks reported for both models, GPT-5.1 High wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3.1 is roughly 8.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.1 High also accepts a larger context window (400,000 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 DeepSeek-V3.1
- cost matters — it's about 8.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-5.1 High
- overall performance matters — it scores 35.2 and ranks #87 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Nov 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for DeepSeek-V3.1 · 3 for GPT-5.1 High
DeepSeek-V3.1 outperforms in 0 benchmarks, while GPT-5.1 High is better at 2 benchmarks (AIME 2025, GPQA).
GPT-5.1 High significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.1 ($0.25/1M tokens) is 5.0x cheaper than GPT-5.1 High ($1.25/1M tokens).
For output processing, DeepSeek-V3.1 ($0.95/1M tokens) is 10.5x cheaper than GPT-5.1 High ($10.00/1M tokens).
In conclusion, GPT-5.1 High is more expensive than DeepSeek-V3.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.1 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-5.1 High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.1 High supports multimodal inputs, whereas DeepSeek-V3.1 does not.
GPT-5.1 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.1
GPT-5.1 High
License
Usage and distribution terms
DeepSeek-V3.1 is licensed under MIT, while GPT-5.1 High uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3.1 was released on 2025-01-10, while GPT-5.1 High was released on 2025-11-12.
GPT-5.1 High is 10 months newer than DeepSeek-V3.1.
Jan 10, 2025
1.7 years ago
Nov 12, 2025
10 months ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.1 is available from DeepInfra, Novita. GPT-5.1 High is available from OpenAI.
DeepSeek-V3.1
GPT-5.1 High
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.1 and GPT-5.1 High side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.1 vs GPT-5.1 High.