The AI arena is free today

Open Superagent

Inkling-Small vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 39.3.

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

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 39.3, ranking #14 overall.

In the 6 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 5; 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 want predictable pricing at $0.30/M input and $1.20/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Inkling-Small
Thinking Machines Lab
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
39.3
#53
50.5
#14
Reasoning
39.0
#52
50.6
#12
Coding
31.1
#45
38.4
#19
Agents
24.8
#45
37.2
#12
Cost, coverage & limits
Benchmark wins
1 of 6
5 of 6
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Inkling-Small
Qwen3.8-Flash-Next
Math
34.2#46
33.3#50
Vision
19.6#64
34.6#11
Tool use
23.3#38
32.3#8
Multimodal
17.8#68
35.3#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for Inkling-Small · 22 for Qwen3.8-Flash-Next

6 shared

Inkling-Small outperforms in 1 benchmarks (IFBench), while Qwen3.8-Flash-Next is better at 5 benchmarks (CharXiv-R, GPQA, Humanity's Last Exam, SWE-Bench Pro, Toolathlon).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

151.0B diff

Inkling-Small has 151.0B more parameters than Qwen3.8-Flash-Next, making it 120.8% larger.

Thinking Machines Lab
Inkling-Small
276.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
276.0B
Inkling-Small
125.0B
Qwen3.8-Flash-Next

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-Flash-Next
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling-Small and Qwen3.8-Flash-Next 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-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 1 month newer than Inkling-Small.

Inkling-Small

Jul 30, 2026

4 weeks ago

Qwen3.8-Flash-Next

Aug 26, 2026

2 days ago

3w 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?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 39.3. Inkling-Small is made by Thinking Machines Lab and Qwen3.8-Flash-Next 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-Flash-Next 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-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

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

Inkling-Small supports 256K tokens and Qwen3.8-Flash-Next 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-Flash-Next?

Key differences include LLM Stats Score (39.3 vs 50.5), licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

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

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

Related comparisons