DeepSeek: R1 Distill Qwen 32B

Public pricingIntelligence 64/100Medium memory深い思考

DeepSeek: R1 Distill Qwen 32B はテキストモデルで、汎用チャット、分析、業務利用に向いています。安定した汎用性能、33K tokensのコンテキスト、低コストの特性を組み合わせ、general chat, analysis, and production workloads で安定した動作を支えます。品質・速度・コストが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.29/1M

Output

$0.29/1M

Cached

$0.03/1M

Batch

$0.06/1M

Calculate your R1 Distill Qwen 32B bill.

Set your workload — see cost at your exact volume.

What would R1 Distill Qwen 32B cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

R1 Distill Qwen 32B at a glance.

Memory

32,768

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Jan 2025

Training cutoff

Jul 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

aime_2024
72.6
bbh
17.15
gpqa_diamond
62.1
ifeval
41.86
livecodebench
57.2
math
94.3
mmlu_pro
40.96

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick R1 Distill Qwen 32B

Multi-step reasoning, research agents, or hard math.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.
You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

R1 Distill Qwen 32B — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, R1 Distill Qwen 32B costs roughly $33 per month. Input is $0.29 /1M tokens and output is $0.29 /1M tokens.

R1 Distill Qwen 32B has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.

Beyond text generation, R1 Distill Qwen 32B supports deep step-by-step reasoning, strict JSON output. It streams replies by default.

R1 Distill Qwen 32B was released in January 2025, with training data cut off around July 2024.

Models in a similar class include DeepSeek V3.2 Exp, DeepSeek V3.2, DeepSeek V3.1 Terminus. The "Similar models" section below this FAQ links into each.

Still unsure?

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