DeepSeek-V4-Flash-0731 vs Ling 3.0 Flash Fin
DeepSeek-V4-Flash-0731 and Ling 3.0 Flash Fin are closely matched at 44.7 and 43.0 on the LLM Stats Score. DeepSeek-V4-Flash-0731 and Ling 3.0 Flash Fin cost the same.
DeepSeek · InclusionAI · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 and Ling 3.0 Flash Fin are closely matched on the overall LLM Stats Score at 44.7 and 43.0.
DeepSeek-V4-Flash-0731 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-Flash-0731
- 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
- 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
9 reported for DeepSeek-V4-Flash-0731 · 6 for Ling 3.0 Flash Fin
DeepSeek-V4-Flash-0731 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-Flash-0731 ($0.06/1M tokens) costs the same as Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) costs the same as Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, DeepSeek-V4-Flash-0731 and Ling 3.0 Flash Fin cost the same.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 180.0B more parameters than Ling 3.0 Flash Fin, making it 145.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. DeepSeek-V4-Flash-0731 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-Flash-0731 was released on 2026-07-31, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 1 month newer than DeepSeek-V4-Flash-0731.
Jul 31, 2026
1 months ago
Sep 3, 2026
2 weeks ago
1mo 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-Flash-0731 is available from DeepInfra, Novita, Fireworks. Ling 3.0 Flash Fin is available from DeepInfra.
DeepSeek-V4-Flash-0731
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Ling 3.0 Flash Fin.