Ling 3.0 Flash Fin vs Qwen3.7 Max
Ling 3.0 Flash Fin and Qwen3.7 Max are closely matched at 43.3 and 45.6 on the LLM Stats Score. Ling 3.0 Flash Fin is 20.8x cheaper per token.
InclusionAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ling 3.0 Flash Fin and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 43.3 and 45.6.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Ling 3.0 Flash Fin is roughly 20.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.7 Max also accepts a larger context window (1,000,000 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 Ling 3.0 Flash Fin
- cost matters — it's about 20.8x cheaper per token
- you want the most recent training data — it shipped Sep 2026
Choose Qwen3.7 Max
- you process long inputs — it offers a 1,000,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 42 for Qwen3.7 Max
Ling 3.0 Flash Fin outperforms in 1 benchmarks (Finance Agent v2), while Qwen3.7 Max is better at 1 benchmark (SpreadSheetBench-v1).
Both models are evenly matched across the benchmarks.
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 20.8x cheaper than Qwen3.7 Max ($1.25/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 20.8x cheaper than Qwen3.7 Max ($3.75/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen3.7 Max accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Qwen3.7 Max was released on 2026-05-19.
Ling 3.0 Flash Fin is 4 months newer than Qwen3.7 Max.
Sep 3, 2026
5 days ago
3mo newerMay 19, 2026
3 months 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. Qwen3.7 Max is available from Novita, DeepInfra, Together.
Ling 3.0 Flash Fin
Qwen3.7 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Qwen3.7 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Qwen3.7 Max.