The AI arena is free today

Open Superagent

DeepSeek R1 Distill Qwen 1.5B vs Grok-2

Grok-2 leads the LLM Stats Score 11.4 to -3.0.

DeepSeek · xAI · Updated for 2026

Which is better?

Grok-2 leads the overall LLM Stats Score 11.4 to -3.0, ranking #258 overall.

In the 1 individual benchmarks reported for both models, Grok-2 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 R1 Distill Qwen 1.5B

  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose Grok-2

  • overall performance matters — it scores 11.4 and ranks #258 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Core performance indexes
-3.0
#342
11.4
#258
-2.6
#332
11.4
#255
-4.6
#259
9.2
#175
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
Grok-2
5.4#271
18.2#183
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 8 for Grok-2

1 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Grok-2 is better at 1 benchmark (GPQA).

Grok-2 significantly outperforms across most benchmarks.

Wed Sep 16 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Grok-2 specifies input context (128,000 tokens). Only Grok-2 specifies output context (8,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
Wed Sep 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok-2 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

Grok-2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Grok-2 uses a proprietary license.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Grok-2

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Grok-2 was released on 2024-08-13.

DeepSeek R1 Distill Qwen 1.5B is 5 months newer than Grok-2.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.7 years ago

5mo newer
Grok-2

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 R1 Distill Qwen 1.5B and Grok-2 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
Grok-2
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Grok-2.

Which is better, DeepSeek R1 Distill Qwen 1.5B or Grok-2?

Grok-2 leads the LLM Stats Score 11.4 to -3.0. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Grok-2 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 R1 Distill Qwen 1.5B compare to Grok-2 in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Grok-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and Grok-2?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Grok-2 supports 128K 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 Distill Qwen 1.5B and Grok-2?

Key differences include LLM Stats Score (-3.0 vs 11.4), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and Grok-2?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Grok-2 is developed by xAI.