Head-to-head · Sources current through July 14, 2026

DeepSeek-V4-Pro vs Grok 4.1

According to LMArena's snapshot published July 12, 2026, DeepSeek-V4-Pro scores 1457.1 in the style-controlled text category, but Grok 4.1 has no exact model match in that snapshot. The two models share no ranking evidence, so this page names no winner.

Side-by-side sourced facts

Both columns quote the same reviewed Epoch AI catalog artifact. The LMArena row quotes the separately pinned snapshot published July 12, 2026 and appears only for an exact source model match. Missing values stay missing.

Source-backed facts for DeepSeek-V4-Pro and Grok 4.1
FieldDeepSeek-V4-ProGrok 4.1
DeveloperDeepSeekxAI
ReleasedApril 24, 2026November 17, 2025
DomainsLanguageLanguage
TasksLanguage modeling/generation, Question answeringLanguage modeling/generation, Question answering, Mathematical reasoning, Quantitative reasoning, Code generation
AccessOpen weights (unrestricted)API access
WeightsOpen weightsClosed weights
LMArena rating1457.1 (95% interval 1452.6 to 1461.6, 41,800 battles)No exact model match in this snapshot
Context windowNot reported by this sourceNot reported by this source
PriceNot reported by this sourceNot reported by this source

Shared evidence in the Epoch records: Language (domain), Language modeling/generation (task), Question answering (task).

Common questions

Is DeepSeek-V4-Pro better than Grok 4.1?

No published ranking covers both models in Model Gauntlet's approved sources: the LMArena snapshot published July 12, 2026 has no exact match for Grok 4.1. The Epoch catalog documents what each model is for; it does not measure which is better.

Which is newer, DeepSeek-V4-Pro or Grok 4.1?

According to Epoch AI's model catalog (retrieved July 14, 2026), DeepSeek-V4-Pro is newer: it was released April 24, 2026, while Grok 4.1 was released November 17, 2025.

Can you self-host DeepSeek-V4-Pro or Grok 4.1?

Only DeepSeek-V4-Pro, according to the Epoch records: it ships unrestricted open weights, while Grok 4.1 is a closed-weight model with API access only.

Evidence boundary

This page declares no winner beyond what a named source's numbers say. Where the sources do not overlap, the page says so plainly. Task quality, price, context window, latency, and reliability are not reported by these sources, so no claim about them appears here. Both models still require hands-on evaluation on your own workload.