Model Comparison
DeepSeek-V3 vs Grok-2Which is better in 2026?
DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 8.4x cheaper per token.
Verdict: DeepSeek-V3 vs Grok-2 — which is better?
DeepSeek-V3 (by DeepSeek) and Grok-2 (by xAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Grok-2 is better at 0 benchmarks. DeepSeek-V3 significantly outperforms across most benchmarks.
On price, DeepSeek-V3 is roughly 8.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 8.4x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
Choose Grok-2 if…
- you want predictable pricing at $2.00/M input and $10.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Grok-2 is better at 0 benchmarks.
DeepSeek-V3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 ($0.27/1M tokens) is 7.4x cheaper than Grok-2 ($2.00/1M tokens).
For output processing, DeepSeek-V3 ($1.10/1M tokens) is 9.1x cheaper than Grok-2 ($10.00/1M tokens).
In conclusion, Grok-2 is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V3 accepts 131,072 input tokens compared to Grok-2's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Grok-2 is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Grok-2 supports multimodal inputs, whereas DeepSeek-V3 does not.
Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3
Grok-2
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Grok-2 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-2 was released on 2024-08-13.
DeepSeek-V3 is 4 months newer than Grok-2.
Dec 25, 2024
1.5 years ago
4mo newerAug 13, 2024
1.9 years 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-V3 is available from DeepSeek. Grok-2 is available from xAI.
DeepSeek-V3
Grok-2
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3 and Grok-2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3 vs Grok-2.