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DeepSeek R1 Distill Qwen 1.5B vs GPT-3.5 Turbo

DeepSeek R1 Distill Qwen 1.5B leads the LLM Stats Score -2.8 to -9.3.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 1.5B leads the overall LLM Stats Score -2.8 to -9.3, ranking #330 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 1.5B 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

  • overall performance matters — it scores -2.8 and ranks #330 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
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Core performance indexes
-2.8
#330
-9.3
#352
-2.4
#319
-8.6
#344
-4.5
#250
-4.4
#249
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
GPT-3.5 Turbo
5.7#262
-2.0#301
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 8 for GPT-3.5 Turbo

1 shared

DeepSeek R1 Distill Qwen 1.5B outperforms in 1 benchmarks (GPQA), while GPT-3.5 Turbo is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 1.5B significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat Sep 05 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while GPT-3.5 Turbo 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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while GPT-3.5 Turbo was released on 2023-03-21.

DeepSeek R1 Distill Qwen 1.5B is 22 months newer than GPT-3.5 Turbo.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.6 years ago

1.8yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

GPT-3.5 Turbo

Sep 2021

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-3.5 Turbo side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs GPT-3.5 Turbo.

Which is better, DeepSeek R1 Distill Qwen 1.5B or GPT-3.5 Turbo?

DeepSeek R1 Distill Qwen 1.5B leads the LLM Stats Score -2.8 to -9.3. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and GPT-3.5 Turbo 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-3.5 Turbo in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

What are the context window sizes for DeepSeek R1 Distill Qwen 1.5B and GPT-3.5 Turbo?

DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and GPT-3.5 Turbo supports 16K 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-3.5 Turbo?

Key differences include LLM Stats Score (-2.8 vs -9.3), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and GPT-3.5 Turbo?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and GPT-3.5 Turbo is developed by OpenAI.