Ling 3.0 Flash Fin vs Mercury 3
Ling 3.0 Flash Fin leads the LLM Stats Score 42.9 to 36.1. Ling 3.0 Flash Fin is 1.8x cheaper per token.
InclusionAI · Inception · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 42.9 to 36.1, ranking #59 overall.
In the 1 individual benchmarks reported for both models, Ling 3.0 Flash Fin wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash Fin is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mercury 3 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
- overall performance matters — it scores 42.9 and ranks #59 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.8x cheaper per token
Choose Mercury 3
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 12 for Mercury 3
Ling 3.0 Flash Fin outperforms in 1 benchmarks (Tau3 Banking), while Mercury 3 is better at 0 benchmarks.
Ling 3.0 Flash Fin significantly outperforms across most 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 1.7x cheaper than Mercury 3 ($0.10/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 1.9x cheaper than Mercury 3 ($0.35/1M tokens).
In conclusion, Mercury 3 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
Mercury 3 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 Mercury 3 is limited to 131,072 tokens.
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Mercury 3 was released on 2026-10-19.
Mercury 3 is 2 months newer than Ling 3.0 Flash Fin.
Sep 3, 2026
1 months ago
Oct 19, 2026
3 days 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
Ling 3.0 Flash Fin is available from DeepInfra. Mercury 3 is available from Inception.
Ling 3.0 Flash Fin
Mercury 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Mercury 3.