DeepSeek R1 Distill Qwen 32B vs GPT-4 Turbo
DeepSeek R1 Distill Qwen 32B and GPT-4 Turbo are closely matched at 13.1 and 9.0 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 111.1x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and GPT-4 Turbo are closely matched on the overall LLM Stats Score at 13.1 and 9.0.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Qwen 32B is roughly 111.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 32B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 111.1x cheaper per token
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 32B · 6 for GPT-4 Turbo
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while GPT-4 Turbo is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 83.3x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 166.7x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while GPT-4 Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while GPT-4 Turbo was released on 2024-04-09.
DeepSeek R1 Distill Qwen 32B is 10 months newer than GPT-4 Turbo.
Jan 20, 2025
1.7 years ago
9mo newerApr 9, 2024
2.5 years ago
Knowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
—
Dec 2023
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. GPT-4 Turbo is available from Azure, OpenAI.
DeepSeek R1 Distill Qwen 32B
GPT-4 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and GPT-4 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs GPT-4 Turbo.