Inkling 2 Small vs Qwen2.5-Omni-7B
Inkling 2 Small leads the LLM Stats Score 47.2 to 4.8.
Thinking Machines Lab · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to 4.8, ranking #40 overall.
In the 2 individual benchmarks reported for both models, Inkling 2 Small wins 2; 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 Inkling 2 Small
- overall performance matters — it scores 47.2 and ranks #40 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Nov 2026
Choose Qwen2.5-Omni-7B
- 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
11 reported for Inkling 2 Small · 45 for Qwen2.5-Omni-7B
Inkling 2 Small outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Qwen2.5-Omni-7B is better at 0 benchmarks.
Inkling 2 Small significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Inkling 2 Small has 587.0B more parameters than Qwen2.5-Omni-7B, making it 8385.7% larger.
Context Window
Maximum input and output token capacity
Only Inkling 2 Small specifies input context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Inkling 2 Small and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Inkling 2 Small
Qwen2.5-Omni-7B
License
Usage and distribution terms
Inkling 2 Small is licensed under a proprietary license, while Qwen2.5-Omni-7B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Inkling 2 Small was released on 2026-11-05, while Qwen2.5-Omni-7B was released on 2025-03-27.
Inkling 2 Small is 20 months newer than Qwen2.5-Omni-7B.
Nov 5, 2026
1 weeks ago
1.6yr newerMar 27, 2025
1.6 years 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 Inkling 2 Small and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs Qwen2.5-Omni-7B.