Ling 3.0 Flash Fin vs Qwen2.5 72B Instruct
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 12.2. Ling 3.0 Flash Fin is 4.0x cheaper per token.
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 12.2, ranking #39 overall.
On price, Ling 3.0 Flash Fin is roughly 4.0x 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 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 4.0x 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
Choose Qwen2.5 72B Instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 14 for Qwen2.5 72B Instruct
Ling 3.0 Flash Fin and Qwen2.5 72B 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
Pricing Analysis
Price comparison per million tokens
For input processing, Ling 3.0 Flash Fin ($0.06/1M tokens) is 5.8x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 2.2x cheaper than Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, Qwen2.5 72B Instruct is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ling 3.0 Flash Fin has 51.3B more parameters than Qwen2.5 72B Instruct, making it 70.6% larger.
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Qwen2.5 72B Instruct was released on 2024-09-19.
Ling 3.0 Flash Fin is 24 months newer than Qwen2.5 72B Instruct.
Sep 3, 2026
5 days ago
2.0yr newerSep 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.
Provider Availability
Ling 3.0 Flash Fin is available from DeepInfra. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
Ling 3.0 Flash Fin
Qwen2.5 72B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Qwen2.5 72B Instruct.