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Ling 3.0 Flash Fin vs QwQ-32B

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 14.9.

InclusionAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 14.9, ranking #39 overall.

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

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
  • you want the most recent training data — it shipped Sep 2026

Choose QwQ-32B

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

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
QwQ-32B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
43.3
#39
14.9
#230
Reasoning
44.7
#32
15.7
#221
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 7 for QwQ-32B

No common benchmarks found

Ling 3.0 Flash Fin and QwQ-32Bdon'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

Model Size

Parameter count comparison

91.5B diff

Ling 3.0 Flash Fin has 91.5B more parameters than QwQ-32B, making it 281.5% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
124.0B
Ling 3.0 Flash Fin
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Wed Sep 09 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while QwQ-32B was released on 2025-03-05.

Ling 3.0 Flash Fin is 18 months newer than QwQ-32B.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.5yr newer
QwQ-32B

Mar 5, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Ling 3.0 Flash Fin

—

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and QwQ-32B side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs QwQ-32B.

Which is better, Ling 3.0 Flash Fin or QwQ-32B?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 14.9. Ling 3.0 Flash Fin is made by InclusionAI and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.0 Flash Fin compare to QwQ-32B in benchmarks?

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%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Ling 3.0 Flash Fin and QwQ-32B?

Ling 3.0 Flash Fin supports 262K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.0 Flash Fin and QwQ-32B?

Key differences include LLM Stats Score (43.3 vs 14.9), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and QwQ-32B?

Ling 3.0 Flash Fin is developed by InclusionAI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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