DeepSeek-V4-Flash-Max vs GPT-5.1 High
DeepSeek-V4-Flash-Max and GPT-5.1 High are closely matched at 39.1 and 35.3 on the LLM Stats Score. DeepSeek-V4-Flash-Max is 30.6x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Max and GPT-5.1 High are closely matched on the overall LLM Stats Score at 39.1 and 35.3.
In the 1 individual benchmarks reported for both models, GPT-5.1 High wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-Max is roughly 30.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Max also accepts a larger context window (1,048,576 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-V4-Flash-Max
- cost matters — it's about 30.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.1 High
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for DeepSeek-V4-Flash-Max · 3 for GPT-5.1 High
DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while GPT-5.1 High is better at 0 benchmarks.
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Max ($0.09/1M tokens) is 13.9x cheaper than GPT-5.1 High ($1.25/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 55.6x cheaper than GPT-5.1 High ($10.00/1M tokens).
In conclusion, GPT-5.1 High is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to GPT-5.1 High's 400,000 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 1,048,576 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-V4-Flash-Max does not.
GPT-5.1 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Max
GPT-5.1 High
License
Usage and distribution terms
DeepSeek-V4-Flash-Max 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-V4-Flash-Max was released on 2026-04-23, while GPT-5.1 High was released on 2025-11-12.
DeepSeek-V4-Flash-Max is 5 months newer than GPT-5.1 High.
Apr 23, 2026
4 months ago
5mo newerNov 12, 2025
10 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-Max is available from DeepInfra, DeepSeek. GPT-5.1 High is available from OpenAI.
DeepSeek-V4-Flash-Max
GPT-5.1 High
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and GPT-5.1 High side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Max vs GPT-5.1 High.