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Inkling-Small vs Qwen3.8 Omni Flash

Inkling-Small and Qwen3.8 Omni Flash are closely matched at 38.1 and 37.8 on the LLM Stats Score.

Thinking Machines Lab · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Inkling-Small and Qwen3.8 Omni Flash are closely matched on the overall LLM Stats Score at 38.1 and 37.8.

In the 2 individual benchmarks reported for both models, Qwen3.8 Omni Flash 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-Small

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Omni Flash

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Inkling-Small
Thinking Machines Lab
Qwen3.8 Omni Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
38.1
#77
37.8
#79
Reasoning
37.7
#77
32.2
#117
Agents
22.7
#70
21.0
#73
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
256,000
—

Individual benchmarks

24 reported for Inkling-Small · 5 for Qwen3.8 Omni Flash

2 shared

Inkling-Small outperforms in 0 benchmarks, while Qwen3.8 Omni Flash is better at 2 benchmarks (MMAU, VoiceBench Avg).

Qwen3.8 Omni Flash significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Inkling-Small specifies input context (256,000 tokens). Only Inkling-Small specifies output context (256,000 tokens).

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Omni Flash
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling-Small and Qwen3.8 Omni Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Inkling-Small

Text
Images
Audio
Video

Qwen3.8 Omni Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while Qwen3.8 Omni Flash uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Inkling-Small

Apache 2.0

Open weights

Qwen3.8 Omni Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while Qwen3.8 Omni Flash was released on 2026-09-18.

Qwen3.8 Omni Flash is 2 months newer than Inkling-Small.

Inkling-Small

Jul 30, 2026

2 months ago

Qwen3.8 Omni Flash

Sep 18, 2026

2 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Inkling-Small and Qwen3.8 Omni Flash side-by-side, then vote on the output you prefer.

Inkling-Small
✓ Preferred
Qwen3.8 Omni Flash
Open in Playground

FAQ

Common questions about Inkling-Small vs Qwen3.8 Omni Flash.

Which is better, Inkling-Small or Qwen3.8 Omni Flash?

Inkling-Small and Qwen3.8 Omni Flash are closely matched on the LLM Stats Score at 38.1 and 37.8. Inkling-Small is made by Thinking Machines Lab and Qwen3.8 Omni Flash is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Inkling-Small compare to Qwen3.8 Omni Flash in benchmarks?

Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%. Qwen3.8 Omni Flash scores VoiceBench Avg: 91.6%, DailyOmni: 85.1%, MMAU: 81.8%, OmniGAIA: 74.0%, WildClawBench: 71.0%.

What are the context window sizes for Inkling-Small and Qwen3.8 Omni Flash?

Inkling-Small supports 256K tokens and Qwen3.8 Omni Flash supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Inkling-Small and Qwen3.8 Omni Flash?

Key differences include LLM Stats Score (38.1 vs 37.8), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and Qwen3.8 Omni Flash?

Inkling-Small is developed by Thinking Machines Lab and Qwen3.8 Omni Flash is developed by Alibaba Cloud / Qwen Team.

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