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Deep Seek-R1 vs QwQ-32B-Preview: Benchmarks, Pricing, and Context Window Comparison

Deep Seek-R1 vs QwQ-32B-Preview compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

QwQ-32B-Preview has lower listed token pricing, while Deep Seek-R1 can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Deep Seek-R1
to
QwQ-32B-Preview
Overview
Deep Seek-R1 was released 2 months after QwQ-32B-Preview.
Deep Seek-R1
QwQ-32B-Preview
Provider
The entity that provides this model.
DeepSeek
Qwen
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
32000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
32K
tokens
Not specified.
Release Date
When the model was first released.
2025-01-21
2024-11-28
Leaderboard
Deep Seek-R1
QwQ-32B-Preview
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Research Preview
Knowledge Cutoff
Unknown
11/2024
Pricing
Deep Seek-R1
QwQ-32B-Preview
Input
Cost of input data provided to the model.
$0.55
per million tokens
$0.12
per million tokens
Output
Cost of output tokens generated by the model.
$2.19
per million tokens
$0.18
per million tokens
Benchmarks
Compare relevant benchmarks between Deep Seek-R1 and QwQ-32B-Preview Instruct.
Deep Seek-R1
QwQ-32B-Preview
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
90.8
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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