The AI arena is free today

Open Superagent

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 13.1. DeepSeek R1 Distill Qwen 32B is 2.4x cheaper per token.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 13.1, ranking #12 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Qwen 32B is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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 2.4x cheaper per token

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,040,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek-V4.1-Flash
DeepSeek
Core performance indexes
LLM Stats Score
13.1
#247
51.8
#12
Reasoning
13.3
#236
48.9
#17
Coding
8.1
#181
44.4
#5
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.12 / M
$0.22 / M
Output price
$0.18 / M
$0.66 / M
Context window
128,000
1,040,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 32B
DeepSeek-V4.1-Flash
Math
15.1#217
35.2#43
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 20 for DeepSeek-V4.1-Flash

1 shared

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while DeepSeek-V4.1-Flash is better at 1 benchmark (GPQA).

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

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 1.8x cheaper than DeepSeek-V4.1-Flash ($0.22/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 3.7x cheaper than DeepSeek-V4.1-Flash ($0.66/1M tokens).

In conclusion, DeepSeek-V4.1-Flash 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
Fri Sep 11 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
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

730.4B diff

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

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. DeepSeek-V4.1-Flash 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
Input1,040,000 tokens
Output393,216 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

DeepSeek-V4.1-Flash 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

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

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 was released on 2026-09-10.

DeepSeek-V4.1-Flash is 20 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

DeepSeek-V4.1-Flash

Sep 10, 2026

-1 days ago

1.6yr 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 is available from Fireworks, DeepInfra, DeepSeek, Novita.

DeepSeek R1 Distill Qwen 32B

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

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 13.1. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and DeepSeek-V4.1-Flash 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 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 scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%.

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

DeepSeek R1 Distill Qwen 32B is 1.8x 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 costs $0.22/M input and $0.66/M output via fireworks.

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

DeepSeek R1 Distill Qwen 32B supports 128K tokens and DeepSeek-V4.1-Flash 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?

Key differences include LLM Stats Score (13.1 vs 51.8), context window (128K vs 1.0M), input pricing ($0.12 vs $0.22/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Related comparisons