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DeepSeek R1 Distill Qwen 7B vs Inkling 2 Small

Inkling 2 Small leads the LLM Stats Score 47.2 to 7.7.

DeepSeek · Thinking Machines Lab · Updated for 2026

Which is better?

Inkling 2 Small leads the overall LLM Stats Score 47.2 to 7.7, ranking #39 overall.

In the 1 individual benchmarks reported for both models, Inkling 2 Small 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 7B

  • you need open weights you can self-host or fine-tune

Choose Inkling 2 Small

  • overall performance matters — it scores 47.2 and ranks #39 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 Nov 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
Inkling 2 Small
Thinking Machines Lab
Core performance indexes
LLM Stats Score
7.7
#322
47.2
#39
Reasoning
8.1
#312
47.9
#24
Coding
1.9
#264
36.3
#35
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.30 / M
Output price
— / M
$1.00 / M
Context window
—
256,000

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 11 for Inkling 2 Small

1 shared

DeepSeek R1 Distill Qwen 7B outperforms in 0 benchmarks, while Inkling 2 Small is better at 1 benchmark (GPQA).

Inkling 2 Small significantly outperforms across most benchmarks.

Mon Nov 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

586.4B diff

Inkling 2 Small has 586.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 7695.3% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
594.0B
Inkling 2 Small

Context Window

Maximum input and output token capacity

Only Inkling 2 Small specifies input context (256,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Mon Nov 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling 2 Small supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

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

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

Inkling 2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Inkling 2 Small uses a proprietary license.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Inkling 2 Small

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Inkling 2 Small was released on 2026-11-05.

Inkling 2 Small is 22 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.8 years ago

Inkling 2 Small

Nov 5, 2026

3 days ago

1.8yr newer

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?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and Inkling 2 Small side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
Inkling 2 Small
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Inkling 2 Small.

Which is better, DeepSeek R1 Distill Qwen 7B or Inkling 2 Small?

Inkling 2 Small leads the LLM Stats Score 47.2 to 7.7. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Inkling 2 Small is made by Thinking Machines Lab. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 7B compare to Inkling 2 Small in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Inkling 2 Small scores GPQA: 93.0%, BrowseComp: 90.2%, CharXiv-R: 85.6%, MCP Atlas: 85.0%, SWE-Bench Verified: 82.2%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and Inkling 2 Small?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and Inkling 2 Small supports 256K 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 7B and Inkling 2 Small?

Key differences include LLM Stats Score (7.7 vs 47.2), 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 7B and Inkling 2 Small?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Inkling 2 Small is developed by Thinking Machines Lab.

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