DeepSeek-V4-Pro-Max vs Ling 3.0 Flash Fin
DeepSeek-V4-Pro-Max and Ling 3.0 Flash Fin are closely matched at 43.1 and 43.3 on the LLM Stats Score. Ling 3.0 Flash Fin is 18.1x cheaper per token.
DeepSeek · InclusionAI · Updated for 2026
Which is better?
DeepSeek-V4-Pro-Max and Ling 3.0 Flash Fin are closely matched on the overall LLM Stats Score at 43.1 and 43.3.
On price, Ling 3.0 Flash Fin is roughly 18.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-Max also accepts a larger context window (1,048,576 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-V4-Pro-Max
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
Choose Ling 3.0 Flash Fin
- cost matters — it's about 18.1x cheaper per token
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for DeepSeek-V4-Pro-Max · 6 for Ling 3.0 Flash Fin
DeepSeek-V4-Pro-Max 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
For input processing, DeepSeek-V4-Pro-Max ($1.30/1M tokens) is 21.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, DeepSeek-V4-Pro-Max ($2.60/1M tokens) is 14.4x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, DeepSeek-V4-Pro-Max is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-Max has 1476.0B more parameters than Ling 3.0 Flash Fin, making it 1190.3% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 1,048,576 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.
Release Timeline
When each model was launched
DeepSeek-V4-Pro-Max was released on 2026-04-23, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 4 months newer than DeepSeek-V4-Pro-Max.
Apr 23, 2026
4 months ago
Sep 3, 2026
5 days ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-Max is available from DeepInfra, Novita, DeepSeek, Fireworks, Together. Ling 3.0 Flash Fin is available from DeepInfra.
DeepSeek-V4-Pro-Max
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-Max and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-Max vs Ling 3.0 Flash Fin.