DeepSeek-V4.1-Flash-1017 vs GPT-5.6 Terra
DeepSeek-V4.1-Flash-1017 and GPT-5.6 Terra are closely matched at 51.2 and 49.3 on the LLM Stats Score. DeepSeek-V4.1-Flash-1017 is 8.6x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash-1017 and GPT-5.6 Terra are closely matched on the overall LLM Stats Score at 51.2 and 49.3.
In the 4 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4.1-Flash-1017 is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Terra also accepts a larger context window (1,050,000 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-1017
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 8.6x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.6 Terra
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for DeepSeek-V4.1-Flash-1017 · 45 for GPT-5.6 Terra
DeepSeek-V4.1-Flash-1017 outperforms in 3 benchmarks (AutomationBench, DeepSWE 1.1, Terminal-Bench 4.0), while GPT-5.6 Terra is better at 1 benchmark (Agents' Last Exam).
DeepSeek-V4.1-Flash-1017 shows notably better performance in the majority of benchmarks.
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-1017 ($0.30/1M tokens) is 6.7x cheaper than GPT-5.6 Terra ($2.00/1M tokens).
For output processing, DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens) is 10.0x cheaper than GPT-5.6 Terra ($12.00/1M tokens).
In conclusion, GPT-5.6 Terra is more expensive than DeepSeek-V4.1-Flash-1017.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Terra accepts 1,050,000 input tokens compared to DeepSeek-V4.1-Flash-1017's 1,048,576 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while GPT-5.6 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash-1017 and GPT-5.6 Terra support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash-1017
GPT-5.6 Terra
License
Usage and distribution terms
DeepSeek-V4.1-Flash-1017 is licensed under MIT, while GPT-5.6 Terra 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-1017 was released on 2026-10-17, while GPT-5.6 Terra was released on 2026-07-09.
DeepSeek-V4.1-Flash-1017 is 3 months newer than GPT-5.6 Terra.
Oct 17, 2026
2 days ago
3mo newerJul 9, 2026
3 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.
We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.
—
Feb 2026
Provider Availability
DeepSeek-V4.1-Flash-1017 is available from DeepSeek. GPT-5.6 Terra is available from OpenAI.
DeepSeek-V4.1-Flash-1017
GPT-5.6 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash-1017 and GPT-5.6 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash-1017 vs GPT-5.6 Terra.