DeepSeek-V3 vs Grok 4.7
Grok 4.7 leads the LLM Stats Score 48.5 to 15.7. DeepSeek-V3 is 7.1x cheaper per token.
DeepSeek · xAI · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 15.7, ranking #23 overall.
On price, DeepSeek-V3 is roughly 7.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 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
- cost matters — it's about 7.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Grok 4.7
- overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
20 reported for DeepSeek-V3 · 23 for Grok 4.7
DeepSeek-V3 and Grok 4.7don'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-V3 ($0.27/1M tokens) is 7.4x cheaper than Grok 4.7 ($2.00/1M tokens).
For output processing, DeepSeek-V3 ($0.89/1M tokens) is 6.7x cheaper than Grok 4.7 ($6.00/1M tokens).
In conclusion, Grok 4.7 is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok 4.7 accepts 500,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Only DeepSeek-V3 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.7 supports multimodal inputs, whereas DeepSeek-V3 does not.
Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3
Grok 4.7
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Grok 4.7 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while Grok 4.7 was released on 2026-09-21.
Grok 4.7 is 21 months newer than DeepSeek-V3.
Dec 25, 2024
1.7 years ago
Sep 21, 2026
1 days ago
1.7yr newerKnowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while DeepSeek-V3's cutoff date is not specified.
We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.
—
Jun 2026
Provider Availability
DeepSeek-V3 is available from DeepSeek, DeepInfra. Grok 4.7 is available from xAI.
DeepSeek-V3
Grok 4.7
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 and Grok 4.7 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 vs Grok 4.7.