Ling 3.0 Flash Fin vs Sarvam-105B
Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 25.8.
InclusionAI · Sarvam AI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 25.8, ranking #39 overall.
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 43.3 and ranks #39 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Sarvam-105B
- you need open weights you can self-host or fine-tune
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 · 14 for Sarvam-105B
Ling 3.0 Flash Fin and Sarvam-105Bdon'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
Model Size
Parameter count comparison
Ling 3.0 Flash Fin has 19.0B more parameters than Sarvam-105B, making it 18.1% larger.
Context Window
Maximum input and output token capacity
Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Sarvam-105B was released on 2026-03-06.
Ling 3.0 Flash Fin is 6 months newer than Sarvam-105B.
Sep 3, 2026
5 days ago
6mo newerMar 6, 2026
6 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Sarvam-105B.