Qwen3.8-Flash-Next vs Sarvam-105B
Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 26.1.
Alibaba Cloud / Qwen Team · Sarvam AI · Updated for 2026
Which is better?
Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 26.1, ranking #14 overall.
In the 3 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen3.8-Flash-Next
- overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Sarvam-105B
- you are already invested in the Sarvam AI ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Qwen3.8-Flash-Next · 14 for Sarvam-105B
Qwen3.8-Flash-Next outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6), while Sarvam-105B is better at 0 benchmarks.
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.8-Flash-Next has 20.0B more parameters than Sarvam-105B, making it 19.0% larger.
Input capabilities
Documented input modalities across available providers
Qwen3.8-Flash-Next supports multimodal inputs, whereas Sarvam-105B does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.8-Flash-Next
Sarvam-105B
License
Usage and distribution terms
Qwen3.8-Flash-Next is licensed under Qwen Community License 1.0, while Sarvam-105B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Qwen Community License 1.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3.8-Flash-Next was released on 2026-08-26, while Sarvam-105B was released on 2026-03-06.
Qwen3.8-Flash-Next is 6 months newer than Sarvam-105B.
Aug 26, 2026
3 days ago
5mo newerMar 6, 2026
5 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 Qwen3.8-Flash-Next and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.8-Flash-Next vs Sarvam-105B.