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Ling 3.0 Flash Fin vs Qwen2.5 14B Instruct

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 3.9.

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 3.9, 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 Qwen2.5 14B Instruct

  • 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
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
43.3
#39
3.9
#304
Reasoning
44.7
#32
3.3
#299
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
Qwen2.5 14B Instruct
Finance
36.7#5
5.0#171
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 16 for Qwen2.5 14B Instruct

No common benchmarks found

Ling 3.0 Flash Fin and Qwen2.5 14B Instructdon'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

109.3B diff

Ling 3.0 Flash Fin has 109.3B more parameters than Qwen2.5 14B Instruct, making it 743.5% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
124.0B
Ling 3.0 Flash Fin
14.7B
Qwen2.5 14B Instruct

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
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while Qwen2.5 14B Instruct was released on 2024-09-19.

Ling 3.0 Flash Fin is 24 months newer than Qwen2.5 14B Instruct.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

2.0yr newer
Qwen2.5 14B Instruct

Sep 19, 2024

2.0 years ago

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

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 Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs Qwen2.5 14B Instruct.

Which is better, Ling 3.0 Flash Fin or Qwen2.5 14B Instruct?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 3.9. Ling 3.0 Flash Fin is made by InclusionAI and Qwen2.5 14B Instruct 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 Qwen2.5 14B Instruct 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%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for Ling 3.0 Flash Fin and Qwen2.5 14B Instruct?

Ling 3.0 Flash Fin supports 262K tokens and Qwen2.5 14B Instruct 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 Qwen2.5 14B Instruct?

Key differences include LLM Stats Score (43.3 vs 3.9), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and Qwen2.5 14B Instruct?

Ling 3.0 Flash Fin is developed by InclusionAI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

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