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DeepSeek R1 Distill Qwen 32B vs GPT-4.1 nano

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.4 to 2.2. DeepSeek R1 Distill Qwen 32B is 1.3x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.4 to 2.2, ranking #225 overall.

In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Qwen 32B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 nano also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek R1 Distill Qwen 32B

  • overall performance matters — it scores 13.4 and ranks #225 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 1.3x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-4.1 nano

  • you process long inputs — it offers a 1,047,576 token context window
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
13.4
#225
2.2
#298
13.7
#217
2.5
#286
8.2
#169
-11.6
#247
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.12 / M
$0.10 / M
Output price
$0.18 / M
$0.40 / M
Context window
128,000
1,047,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
GPT-4.1 nano
15.2#203
5.4#261
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 24 for GPT-4.1 nano

2 shared

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (AIME 2024, GPQA), while GPT-4.1 nano is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Sat Aug 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 1.2x more expensive than GPT-4.1 nano ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.2x cheaper than GPT-4.1 nano ($0.40/1M tokens).

In conclusion, GPT-4.1 nano is more expensive than DeepSeek R1 Distill Qwen 32B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Aug 29 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-4.1 nano accepts 1,047,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4.1 nano supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

GPT-4.1 nano

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while GPT-4.1 nano uses a proprietary license.

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

GPT-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while GPT-4.1 nano was released on 2025-04-14.

GPT-4.1 nano is 3 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

GPT-4.1 nano

Apr 14, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

GPT-4.1 nano

May 2024

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. GPT-4.1 nano is available from OpenAI.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

GPT-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and GPT-4.1 nano side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
GPT-4.1 nano
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs GPT-4.1 nano.

Which is better, DeepSeek R1 Distill Qwen 32B or GPT-4.1 nano?

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.4 to 2.2. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and GPT-4.1 nano 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 32B compare to GPT-4.1 nano in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.

Is DeepSeek R1 Distill Qwen 32B cheaper than GPT-4.1 nano?

GPT-4.1 nano is 1.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and GPT-4.1 nano?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and GPT-4.1 nano supports 1.0M 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 32B and GPT-4.1 nano?

Key differences include LLM Stats Score (13.4 vs 2.2), context window (128K vs 1.0M), input pricing ($0.12 vs $0.10/M), 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 32B and GPT-4.1 nano?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and GPT-4.1 nano is developed by OpenAI.