ERNIE 4.5 vs Ling 3.0 Flash Fin
Ling 3.0 Flash Fin leads the LLM Stats Score 43.2 to -13.4. Ling 3.0 Flash Fin is 14.4x cheaper per token.
Baidu · InclusionAI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.2 to -13.4, ranking #41 overall.
On price, Ling 3.0 Flash Fin is roughly 14.4x 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 ERNIE 4.5
- you want predictable pricing at $0.40/M input and $4.00/M output
Choose Ling 3.0 Flash Fin
- overall performance matters — it scores 43.2 and ranks #41 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 14.4x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for ERNIE 4.5 · 6 for Ling 3.0 Flash Fin
ERNIE 4.5 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, ERNIE 4.5 ($0.40/1M tokens) is 6.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).
For output processing, ERNIE 4.5 ($4.00/1M tokens) is 22.2x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).
In conclusion, ERNIE 4.5 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 103.0B more parameters than ERNIE 4.5, making it 490.5% larger.
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to ERNIE 4.5's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while ERNIE 4.5 is limited to 65,536 tokens.
Release Timeline
When each model was launched
ERNIE 4.5 was released on 2025-06-25, while Ling 3.0 Flash Fin was released on 2026-09-03.
Ling 3.0 Flash Fin is 15 months newer than ERNIE 4.5.
Jun 25, 2025
1.2 years ago
Sep 3, 2026
1 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
ERNIE 4.5 is available from Novita. Ling 3.0 Flash Fin is available from DeepInfra.
ERNIE 4.5
Ling 3.0 Flash Fin
Outputs Comparison
Judge for yourself.
Run your own prompts against ERNIE 4.5 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.
FAQ
Common questions about ERNIE 4.5 vs Ling 3.0 Flash Fin.