What are DeepSeek-R1-Distill-Qwen-32B's benchmark scores?

As of 25 Oct 2026, DeepSeek-R1-Distill-Qwen-32B scores 42.5 ±7.7 on the BenchLeader Index, strongest in maths (48) and weakest in instruction following (28). That rests on 5 independent benchmark results, and every score on this page links to its publisher.

How does DeepSeek-R1-Distill-Qwen-32B rank?

DeepSeek-R1-Distill-Qwen-32B is #595 of 785 ranked configurations on 25 Oct 2026. 394 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.

How much does DeepSeek-R1-Distill-Qwen-32B cost per 1M tokens?

As of 25 Oct 2026, DeepSeek-R1-Distill-Qwen-32B costs $0.287 per 1M input tokens and $0.861 per 1M output tokens, $0.431 blended (three input tokens per output token). The list price last changed on 10 Oct 2026.

When was DeepSeek-R1-Distill-Qwen-32B released?

DeepSeek released DeepSeek-R1-Distill-Qwen-32B on 20 Jan 2025.

DeepSeek Open weights: deepseek-ai/DeepSeek-R1-Distill-Qwen-32BReasoning modelCompare with another model

DeepSeek-R1-Distill-Qwen-32B

DeepSeek-R1-Distill-Qwen-32B is a DeepSeek open-weights reasoning model, released 20 Jan 2025. Its best configuration ranks #595 of 785 on the BenchLeader Index at 42.5 ±7.7, in the lower half. The ± is the point: 394 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in maths (48) and lowest in instruction following (28). At $0.431 per million tokens blended it is cheaper than most ranked models. Last measured 20 Jan 2025.stale: no new result in six months

Blended price: $0.431/M; $0.287 in · $0.861 out
Output speed: –
First answer: –
Context: 128k
Full answer: –
Cost per run: –
Released: 20 Jan 2025

How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.

Overall index43
Reasoning47
Maths48
Instruction following28
Long context28
Composite39

How its index has moved

9 Sept 2026 to 18 Oct 2026

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmark	not stated	Source
GPQA Diamond	64.1%#184	Epoch AI Benchmarking Hub
GPQA Diamond (AA)not in index	61.5%#365	Artificial Analysis
Humanity's Last Exam (AA)not in index	4.6%#491	Artificial Analysis

Agents & tools

Benchmark	not stated	Source
BALROGnot in index	19.5%#24	BALROG

Maths

Benchmark	not stated	Source
OTIS Mock AIME	55.6%#174	Epoch AI Benchmarking Hub

Instruction following

Benchmark	not stated	Source
IFBench	22.9%#402	Artificial Analysis

Long context

Benchmark	not stated	Source
AA-LCR	8.7%#472	Artificial Analysis

Composite

Benchmark	not stated	Source
AA Intelligence Index v4.3.2	8.4#439	Artificial Analysis

Price history

The price above, per 1M tokens, every day it changed.

input outputnow $0.287 in · $0.861 out

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

Workload	Tokens in / out	Cost	With caching	Time
Chat reply	400 / 300	$0.0004	–	–
Summarize a 30-page report	12,000 / 600	$0.0040	–	–
Code edit	6,000 / 1,500	$0.0030	–	–
Agentic coding session	60,000 / 4,000	$0.021	–	–
Structured extraction	2,000 / 200	$0.0007	–	–

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Questions people ask

What are DeepSeek-R1-Distill-Qwen-32B's benchmark scores?: As of 25 Oct 2026, DeepSeek-R1-Distill-Qwen-32B scores 42.5 ±7.7 on the BenchLeader Index, strongest in maths (48) and weakest in instruction following (28). That rests on 5 independent benchmark results, and every score on this page links to its publisher.
How does DeepSeek-R1-Distill-Qwen-32B rank?: DeepSeek-R1-Distill-Qwen-32B is #595 of 785 ranked configurations on 25 Oct 2026. 394 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does DeepSeek-R1-Distill-Qwen-32B cost per 1M tokens?: As of 25 Oct 2026, DeepSeek-R1-Distill-Qwen-32B costs $0.287 per 1M input tokens and $0.861 per 1M output tokens, $0.431 blended (three input tokens per output token). The list price last changed on 10 Oct 2026.
When was DeepSeek-R1-Distill-Qwen-32B released?: DeepSeek released DeepSeek-R1-Distill-Qwen-32B on 20 Jan 2025.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “DeepSeek-R1-Distill-Qwen-32B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/deepseek-r1-distill-qwen-32b.