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DeepSeek-V4-Pro-0813 vs Grok-1.5

Comparing DeepSeek-V4-Pro-0813 and Grok-1.5 across benchmarks, pricing, and capabilities.

DeepSeek · xAI · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Grok-1.5 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose Grok-1.5

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Mar 2024
License
MIT
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Grok-1.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
xAI
Grok-1.5
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 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-V4-Pro-0813

MIT

Open weights

Grok-1.5

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Grok-1.5 was released on 2024-03-28.

DeepSeek-V4-Pro-0813 is 29 months newer than Grok-1.5.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

2.4yr newer
Grok-1.5

Mar 28, 2024

2.4 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

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Grok-1.5 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Grok-1.5
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Grok-1.5.

Which is better, DeepSeek-V4-Pro-0813 or Grok-1.5?

DeepSeek-V4-Pro-0813 (DeepSeek) and Grok-1.5 (xAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to Grok-1.5 in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. 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-V4-Pro-0813 and Grok-1.5?

DeepSeek-V4-Pro-0813 supports 1.0M 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-V4-Pro-0813 and Grok-1.5?

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

Who makes DeepSeek-V4-Pro-0813 and Grok-1.5?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Grok-1.5 is developed by xAI.