Model Comparison

DeepSeek-R1-0528 vs Grok-1.5Which is better in 2026?

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Verdict: DeepSeek-R1-0528 vs Grok-1.5 — which is better?

DeepSeek-R1-0528 (by DeepSeek) and Grok-1.5 (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-R1-0528 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Grok-1.5 is better at 0 benchmarks. DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Choose DeepSeek-R1-0528 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped May 2025
  • you need open weights you can self-host or fine-tune

Choose Grok-1.5 if…

  • you are already invested in the xAI ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-R1-0528 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Grok-1.5 is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
xAI
Grok-1.5
Input- tokens
Output- tokens
Mon Jun 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Grok-1.5 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1-0528

MIT

Open weights

Grok-1.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Grok-1.5 was released on 2024-03-28.

DeepSeek-R1-0528 is 14 months newer than Grok-1.5.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

1.2yr newer
Grok-1.5

Mar 28, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Has open weights
Higher GPQA score (81.0% vs 35.9%)
Higher MMLU-Pro score (85.0% vs 51.0%)
xAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
xAI
Grok-1.5

FAQ

Common questions about DeepSeek-R1-0528 vs Grok-1.5.

Which is better, DeepSeek-R1-0528 or Grok-1.5?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Grok-1.5 is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to Grok-1.5 in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%.

What are the context window sizes for DeepSeek-R1-0528 and Grok-1.5?

DeepSeek-R1-0528 supports 131K tokens and Grok-1.5 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and Grok-1.5?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Grok-1.5?

DeepSeek-R1-0528 is developed by DeepSeek and Grok-1.5 is developed by xAI.

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