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DeepSeek R1 Distill Qwen 32B vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 13.2. Ling 3.0 Flash Fin is 1.5x cheaper per token.

DeepSeek · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 13.2, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 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

  • you need open weights you can self-host or fine-tune

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 1.5x cheaper per token
  • you process long inputs — it offers a 262,144 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
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
13.2
#246
43.3
#39
Reasoning
13.4
#235
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.12 / M
$0.06 / M
Output price
$0.18 / M
$0.18 / M
Context window
128,000
262,144

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 6 for Ling 3.0 Flash Fin

No common benchmarks found

DeepSeek R1 Distill Qwen 32B and Ling 3.0 Flash Findon'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

Ling 3.0 Flash Fin costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 2.0x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) costs the same as Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Ling 3.0 Flash Fin.*

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

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

91.2B diff

Ling 3.0 Flash Fin has 91.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 278.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 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
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 20 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 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. Ling 3.0 Flash Fin is available from DeepInfra.

DeepSeek R1 Distill Qwen 32B

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

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* 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 Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Ling 3.0 Flash Fin.

Which is better, DeepSeek R1 Distill Qwen 32B or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 13.2. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Ling 3.0 Flash Fin is made by InclusionAI. 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 Ling 3.0 Flash Fin in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 2.0x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Ling 3.0 Flash Fin?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Ling 3.0 Flash Fin supports 262K 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 Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (13.2 vs 43.3), context window (128K vs 262K), input pricing ($0.12 vs $0.06/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Ling 3.0 Flash Fin?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Ling 3.0 Flash Fin is developed by InclusionAI.

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