DeepSeek-V4.1-Flash vs GPT-5.1 Codex High
DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 29.4. DeepSeek-V4.1-Flash is 10.4x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 29.4, ranking #12 overall.
On price, DeepSeek-V4.1-Flash is roughly 10.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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-V4.1-Flash
- overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 10.4x cheaper per token
- you process long inputs — it offers a 1,040,000 token context window
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.1 Codex High
- you want predictable pricing at $1.25/M input and $10.00/M output
At a glance
The differences that matter most.
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 1 for GPT-5.1 Codex High
DeepSeek-V4.1-Flash and GPT-5.1 Codex Highdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 5.7x cheaper than GPT-5.1 Codex High ($1.25/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 15.2x cheaper than GPT-5.1 Codex High ($10.00/1M tokens).
In conclusion, GPT-5.1 Codex High is more expensive than DeepSeek-V4.1-Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to GPT-5.1 Codex High's 400,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while GPT-5.1 Codex High is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and GPT-5.1 Codex High support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
GPT-5.1 Codex High
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while GPT-5.1 Codex 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-V4.1-Flash was released on 2026-09-10, while GPT-5.1 Codex High was released on 2025-11-12.
DeepSeek-V4.1-Flash is 10 months newer than GPT-5.1 Codex High.
Sep 10, 2026
3 days ago
10mo 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-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. GPT-5.1 Codex High is available from OpenAI.
DeepSeek-V4.1-Flash
GPT-5.1 Codex High
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and GPT-5.1 Codex High side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs GPT-5.1 Codex High.