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DeepSeek-V4.1-Flash vs Grok-2 mini

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 8.6.

DeepSeek · xAI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 8.6, ranking #12 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose Grok-2 mini

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Core performance indexes
51.8
#12
8.6
#276
48.9
#17
8.2
#273
44.4
#5
5.9
#193
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V4.1-Flash
Grok-2 mini
35.2#43
15.8#211
29.5#31
5.8#149
34.3#13
9.0#121
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 8 for Grok-2 mini

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Grok-2 mini is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
xAI
Grok-2 mini
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Grok-2 mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Grok-2 mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while Grok-2 mini uses a proprietary license.

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

DeepSeek-V4.1-Flash

MIT

Open weights

Grok-2 mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Grok-2 mini was released on 2024-08-13.

DeepSeek-V4.1-Flash is 25 months newer than Grok-2 mini.

DeepSeek-V4.1-Flash

Sep 10, 2026

3 days ago

2.1yr newer
Grok-2 mini

Aug 13, 2024

2.1 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-V4.1-Flash and Grok-2 mini side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Grok-2 mini
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Grok-2 mini.

Which is better, DeepSeek-V4.1-Flash or Grok-2 mini?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 8.6. DeepSeek-V4.1-Flash is made by DeepSeek and Grok-2 mini is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash compare to Grok-2 mini in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. Grok-2 mini scores DocVQA: 93.2%, MMLU: 86.2%, HumanEval: 85.7%, MATH: 73.0%, MMLU-Pro: 72.0%.

What are the context window sizes for DeepSeek-V4.1-Flash and Grok-2 mini?

DeepSeek-V4.1-Flash supports 1.0M tokens and Grok-2 mini 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-V4.1-Flash and Grok-2 mini?

Key differences include LLM Stats Score (51.8 vs 8.6), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Grok-2 mini?

DeepSeek-V4.1-Flash is developed by DeepSeek and Grok-2 mini is developed by xAI.