DeepSeek R1 Distill Qwen 32B Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 32B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
DeepSeek R1 Distill Qwen 32B is above average in intelligence, but somewhat expensive when comparing to other open weight models of similar size. It's also notably slow, however fairly concise. The model supports text input, outputs text, and has a 128k tokens context window.
DeepSeek R1 Distill Qwen 32B scores 17 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 13M tokens, which is fairly concise in comparison to the average of 20M.
Pricing for DeepSeek R1 Distill Qwen 32B is $0.27 per 1M input tokens (expensive, average: $0.06) and $0.27 per 1M output tokens (somewhat expensive, average: $0.20). In total, it cost $6.35 to evaluate DeepSeek R1 Distill Qwen 32B on the Intelligence Index.
At 60 tokens per second, DeepSeek R1 Distill Qwen 32B is notably slow (104).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of DeepSeek R1 Distill Qwen 32B API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Qwen 32B was released on January 20, 2025.
DeepSeek R1 Distill Qwen 32B was created by DeepSeek.
DeepSeek R1 Distill Qwen 32B scores 17 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 15).
DeepSeek R1 Distill Qwen 32B generates output at 60.2 tokens per second (based on the median across providers serving the model), which is at the lower end compared to other open weight models of similar size (median: 103.8 t/s).
DeepSeek R1 Distill Qwen 32B has a time to first token (TTFT) of 0.95s (based on the median across providers serving the model), which is better than average compared to other open weight models of similar size (median: 1.36s).
DeepSeek R1 Distill Qwen 32B costs $0.27 per 1M input tokens (at the higher end, median: $0.20) and $0.27 per 1M output tokens (better than average, median: $0.60), based on the median across providers serving the model.
DeepSeek R1 Distill Qwen 32B costs $0.27 per 1M input tokens and $0.27 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.27 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, DeepSeek R1 Distill Qwen 32B generated 13M output tokens, which is better than average compared to other open weight models of similar size (median: 20M).
Yes, DeepSeek R1 Distill Qwen 32B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
DeepSeek R1 Distill Qwen 32B supports text input.
DeepSeek R1 Distill Qwen 32B supports text output.
No, DeepSeek R1 Distill Qwen 32B does not support image input. It can only process text.
No, DeepSeek R1 Distill Qwen 32B is not multimodal. It only supports text input.
DeepSeek R1 Distill Qwen 32B has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DeepSeek R1 Distill Qwen 32B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
DeepSeek R1 Distill Qwen 32B has 32 billion parameters.
DeepSeek R1 Distill Qwen 32B is released under the Apache 2.0 license. This license allows commercial use. View license
DeepSeek R1 Distill Qwen 32B achieves a score of 17 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, DeepSeek R1 Distill Qwen 32B is available via API through 1 provider. Compare API providers
DeepSeek R1 Distill Qwen 32B is available through 1 API provider. Compare providers