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DeepSeek R1 Distill Qwen 1.5B vs GPT-6 Sol

GPT-6 Sol leads the LLM Stats Score 49.4 to -3.0.

DeepSeek · OpenAI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to -3.0, ranking #21 overall.

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

Choose DeepSeek R1 Distill Qwen 1.5B

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

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
-3.0
#348
49.4
#21
-2.6
#338
45.6
#29
-4.6
#265
35.8
#25
Cost, coverage & limits
Benchmark wins
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
1,050,000

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 5 for GPT-6 Sol

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and GPT-6 Soldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Sol supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

GPT-6 Sol 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

GPT-6 Sol

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while GPT-6 Sol 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

GPT-6 Sol

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while GPT-6 Sol was released on 2026-09-22.

GPT-6 Sol is 20 months newer than DeepSeek R1 Distill Qwen 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.7 years ago

GPT-6 Sol

Sep 22, 2026

0 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

GPT-6 Sol

Apr 2026

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 GPT-6 Sol side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
GPT-6 Sol
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs GPT-6 Sol.

Which is better, DeepSeek R1 Distill Qwen 1.5B or GPT-6 Sol?

GPT-6 Sol leads the LLM Stats Score 49.4 to -3.0. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and GPT-6 Sol is made by OpenAI. 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 GPT-6 Sol in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and GPT-6 Sol?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and GPT-6 Sol supports 1.1M 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 GPT-6 Sol?

Key differences include LLM Stats Score (-3.0 vs 49.4), 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 GPT-6 Sol?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and GPT-6 Sol is developed by OpenAI.