DeepSeek R1 Distill Qwen 32B
Jan 2025
DeepSeek R1 Distill Qwen 32BCompare inon
DeepSeek R1 Distill Qwen 32B measured on 2 of 104 Chat & Knowledge benchmarks2
BenchmarkByScoreRank
Legacy · saturated or no longer reported2
No benchmark matches
Alternatives?
ModelScoreCostPer taskWhat changes
CheaperGPT-6 Lunamax+41%-26%$0.068Function calling only with none · Chat Completions+3BetterGPT-5.6 Lunalow+28%+67%$0.01
OpenQwen3.6 27Bunstated+34%+400%$0.60 / $3.60
CheaperGLM 5.3 FlashmaxOpen+41%-12%$0.28Memory (4-bit): 20 GB → 193 GB+5
CheaperClaude Haiku 5.5max+40%-26%$0.21Remove sampling parameters+5ModelScoreCostPer taskWhat changes
GPT-6 Lunamax+41%-26%$0.068Function calling only with none · Chat Completions+3GLM 5.3 FlashmaxOpen+41%-12%$0.28Memory (4-bit): 20 GB → 193 GB+5Claude Haiku 5.5max+40%-26%$0.21Remove sampling parameters+5Qwen3.7 Flashunstated+28%-80%$0.03 / $0.13Qwen 3.5 Flashunstated+28%-58%$0.065 / $0.26ModelScoreCostPer taskWhat changes
GPT-5.6 Lunalow+28%+67%$0.01
Gemini 3.1 Flash Litehigh+28%+108%$0.06GPT-6 Lunamax+41%-26%$0.068Function calling only with none · Chat Completions+3GPT OSS 120BhighOpen+18%-78%$0.092Memory (4-bit): 20 GB → 70 GBGPT-5.6 Terralow+36%+1,567%$0.14Prompts with >272K input tokensModelScoreCostPer taskWhat changes
Qwen3.6 27BunstatedOpen+34%+400%$0.60 / $3.60Qwen3.6 35B A3BnoneOpen+32%+106%$0.25 / $1.49Memory (4-bit): 20 GB → 22 GBQwen 3.5 35B A3BunstatedOpen+30%+155%$0.25 / $2Memory (4-bit): 20 GB → 22 GBQwen 3.5 9BunstatedOpen+23%-66%$0.08 / $0.13Gemma 4 31BminimalOpen+18%-41%$0.10 / $0.34ModelScoreCostPer taskWhat changes
DeepSeek V4 Pro 0813maxOpen+43%—$0.67Memory (4-bit): 20 GB → 990 GB+5R1 0528unstatedOpen+19%—$0.39 / $1.63Context: 131K → 128K+1DeepSeek V3unstatedOpen+11%—$0.28 / $0.42Context: 131K → 128K+1DeepSeek V3 0324unstatedOpen+5%—$0.24 / $0.90Context: 131K → 128K+1DeepSeek R1 Distill Llama 70BOpen-13%—$0.70 / $0.80Memory (4-bit): 20 GB → 42 GBDeepSeek R1 0528 Qwen3 8BunstatedOpen-86%—$0.06 / $0.09Context: 131K → 33KDeepSeek V4.1 Flash 1017maxOpenn/a—$0.26Memory (4-bit): 20 GB → 458 GB+5DeepSeek V3.2 SpecialethinkingOpenn/a——Context: 131K → 128K+1All DeepSeek models →Run it yourself
estimateFits on✗ 8 GB (phone, laptop)✗ 16 GB✓ 24 GB GPU · compressed✓ 48 GB GPU · 8-bit✓ 80 GB GPU · full quality
LicenceMITfree for commercial use
Benchmarks
in Chat & KnowledgeGPQA Diamond · Epoch64.1#89
OTIS Mock AIME 2024 202555.6#90
AIME 2024 pass@1lab72.6
AIME 2024 cons@64lab83.3
MATH-500 pass@1lab94.3
GPQA Diamond pass@1lab62.1
FAQ
How much does DeepSeek R1 Distill Qwen 32B cost?›
$0.27 per 1M input tokens and $0.27 per 1M output tokens (cheapest host: DeepInfra).
Is DeepSeek R1 Distill Qwen 32B free to use?›
There is no free API; the cheapest paid price is $0.27 per 1M input tokens. The weights are open, so you can run it yourself.
How good is DeepSeek R1 Distill Qwen 32B, and what is it best at?›
#89 of 133 in Chat & Knowledge.
Is DeepSeek R1 Distill Qwen 32B better than QwQ 32B?›
On GPQA Diamond · Epoch, DeepSeek R1 Distill Qwen 32B scores 64.1 vs 65.3 — lower.
How can I use DeepSeek R1 Distill Qwen 32B?›
Through the API of DeepInfra.
What is the context window of DeepSeek R1 Distill Qwen 32B?›
131K tokens.
When was DeepSeek R1 Distill Qwen 32B released? Is there a newer version?›
Released 2025-01-20. It is the current version in its line.
Is DeepSeek R1 Distill Qwen 32B open source?›
Yes, the weights are open (MIT licence).
Can I run DeepSeek R1 Distill Qwen 32B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can DeepSeek R1 Distill Qwen 32B read images?›
No, it accepts text only.
What is DeepSeek R1 Distill Qwen 32B?›
DeepSeek R1 Distill Qwen 32B is an open-weights language model from DeepSeek, released Jan 2025.
What are the best alternatives to DeepSeek R1 Distill Qwen 32B?›
GPT-6 Luna (cheaper), GPT-5.6 Luna (better), Qwen3.6 27B (open weights).