DeepSeek-V4-Flash-0731 vs GPT-6.1 Terra
DeepSeek-V4-Flash-0731 and GPT-6.1 Terra are closely matched at 42.2 and 47.6 on the LLM Stats Score. DeepSeek-V4-Flash-0731 is 22.2x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 and GPT-6.1 Terra are closely matched on the overall LLM Stats Score at 42.2 and 47.6.
In the 1 individual benchmarks reported for both models, GPT-6.1 Terra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0731 is roughly 22.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 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-Flash-0731
- cost matters — it's about 22.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6.1 Terra
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 9 for GPT-6.1 Terra
DeepSeek-V4-Flash-0731 outperforms in 0 benchmarks, while GPT-6.1 Terra is better at 1 benchmark (Agents' Last Exam).
GPT-6.1 Terra 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-V4-Flash-0731 ($0.06/1M tokens) is 16.7x cheaper than GPT-6.1 Terra ($1.00/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 27.8x cheaper than GPT-6.1 Terra ($5.00/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6.1 Terra accepts 1,050,000 input tokens compared to DeepSeek-V4-Flash-0731's 1,048,576 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while GPT-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
GPT-6.1 Terra
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while GPT-6.1 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-Flash-0731 was released on 2026-07-31, while GPT-6.1 Terra was released on 2026-10-26.
GPT-6.1 Terra is 3 months newer than DeepSeek-V4-Flash-0731.
Jul 31, 2026
3 months ago
Oct 26, 2026
1 weeks ago
2mo newerKnowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while DeepSeek-V4-Flash-0731's cutoff date is not specified.
We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.
—
Jun 2026
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. GPT-6.1 Terra is available from OpenAI.
DeepSeek-V4-Flash-0731
GPT-6.1 Terra
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and GPT-6.1 Terra side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs GPT-6.1 Terra.