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DeepSeek R1 Distill Qwen 32B vs DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 12.7. DeepSeek R1 Distill Qwen 32B is 3.9x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 12.7, ranking #15 overall.

On price, DeepSeek R1 Distill Qwen 32B is roughly 3.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash-1017 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 32B

  • cost matters — it's about 3.9x cheaper per token

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek-V4.1-Flash-1017
DeepSeek
Core performance indexes
LLM Stats Score
12.7
#271
51.0
#15
Reasoning
13.0
#261
48.6
#18
Coding
8.0
#202
39.1
#15
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.12 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / M
Context window
128,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
DeepSeek-V4.1-Flash-1017
Math
15.0#228
31.8#67
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 11 for DeepSeek-V4.1-Flash-1017

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and DeepSeek-V4.1-Flash-1017don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.5x cheaper than DeepSeek-V4.1-Flash-1017 ($0.30/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 6.7x cheaper than DeepSeek-V4.1-Flash-1017 ($1.20/1M tokens).

In conclusion, DeepSeek-V4.1-Flash-1017 is more expensive than DeepSeek R1 Distill Qwen 32B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Oct 19 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
DeepSeek
DeepSeek-V4.1-Flash-1017
Input tokens$0.30
Output tokens$1.20
Best providerDeepSeek
Notice missing or incorrect data?

Model Size

Parameter count comparison

730.4B diff

DeepSeek-V4.1-Flash-1017 has 730.4B more parameters than DeepSeek R1 Distill Qwen 32B, making it 2226.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
763.2B
DeepSeek-V4.1-Flash-1017

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash-1017 accepts 1,048,576 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek-V4.1-Flash-1017 can generate longer responses up to 393,216 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 32B

Text
Images
Audio
Video

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while DeepSeek-V4.1-Flash-1017 was released on 2026-10-17.

DeepSeek-V4.1-Flash-1017 is 21 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.7 years ago

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. DeepSeek-V4.1-Flash-1017 is available from DeepSeek.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

DeepSeek-V4.1-Flash-1017

deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and DeepSeek-V4.1-Flash-1017 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
DeepSeek-V4.1-Flash-1017
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs DeepSeek-V4.1-Flash-1017.

Which is better, DeepSeek R1 Distill Qwen 32B or DeepSeek-V4.1-Flash-1017?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 12.7. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and DeepSeek-V4.1-Flash-1017 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 32B compare to DeepSeek-V4.1-Flash-1017 in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%.

Is DeepSeek R1 Distill Qwen 32B cheaper than DeepSeek-V4.1-Flash-1017?

DeepSeek R1 Distill Qwen 32B is 2.5x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. DeepSeek-V4.1-Flash-1017 costs $0.30/M input and $1.20/M output via deepseek.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and DeepSeek-V4.1-Flash-1017?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and DeepSeek-V4.1-Flash-1017 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 32B and DeepSeek-V4.1-Flash-1017?

Key differences include LLM Stats Score (12.7 vs 51.0), context window (128K vs 1.0M), input pricing ($0.12 vs $0.30/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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