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Inkling 2 Small vs Qwen3-Next-80B-A3B-Thinking

Inkling 2 Small leads the LLM Stats Score 47.2 to 23.1. Inkling 2 Small is 1.0x cheaper per token.

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 23.1, ranking #40 overall.

In the 1 individual benchmarks reported for both models, Inkling 2 Small wins 1; this is a narrower head-to-head signal than the composite indexes.

Inkling 2 Small also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

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 agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Nov 2026

Choose Qwen3-Next-80B-A3B-Thinking

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

At a glance

The differences that matter most.

Inkling 2 Small
Thinking Machines Lab
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
47.2
#40
23.1
#215
Reasoning
48.0
#26
23.8
#198
Agents
32.9
#39
11.8
#141
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.30 / M
$0.15 / M
Output price
$1.00 / M
$1.50 / M
Context window
256,000
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Inkling 2 Small
Qwen3-Next-80B-A3B-Thinking
Tool use
28.4#30
10.6#152
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Inkling 2 Small · 23 for Qwen3-Next-80B-A3B-Thinking

1 shared

Inkling 2 Small outperforms in 1 benchmarks (GPQA), while Qwen3-Next-80B-A3B-Thinking is better at 0 benchmarks.

Inkling 2 Small significantly outperforms across most benchmarks.

Sat Nov 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Inkling 2 Small costs less

For input processing, Inkling 2 Small ($0.30/1M tokens) is 2.0x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Inkling 2 Small ($1.00/1M tokens) is 1.5x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than Inkling 2 Small.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Nov 14 2026 • llm-stats.com
Thinking Machines Lab
Inkling 2 Small
Input tokens$0.30
Output tokens$1.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input tokens$0.15
Output tokens$1.50
Best providerNovita
Notice missing or incorrect data?

Model Size

Parameter count comparison

514.0B diff

Inkling 2 Small has 514.0B more parameters than Qwen3-Next-80B-A3B-Thinking, making it 642.5% larger.

Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
594.0B
Inkling 2 Small
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Inkling 2 Small accepts 256,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Sat Nov 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling 2 Small supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

Inkling 2 Small

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 2 Small is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

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

Inkling 2 Small

Proprietary

Closed source

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Inkling 2 Small was released on 2026-11-05, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Inkling 2 Small is 14 months newer than Qwen3-Next-80B-A3B-Thinking.

Inkling 2 Small

Nov 5, 2026

1 weeks ago

1.2yr newer
Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

1.2 years ago

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

Provider Availability

Inkling 2 Small is available from Thinking Machines Lab. Qwen3-Next-80B-A3B-Thinking is available from Novita.

Inkling 2 Small

thinking-machines logo
Unknown Organization
Input Price:Input: $0.30/1MOutput Price:Output: $1.00/1M

Qwen3-Next-80B-A3B-Thinking

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Inkling 2 Small and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

Inkling 2 Small
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about Inkling 2 Small vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Inkling 2 Small or Qwen3-Next-80B-A3B-Thinking?

Inkling 2 Small leads the LLM Stats Score 47.2 to 23.1. Inkling 2 Small is made by Thinking Machines Lab and Qwen3-Next-80B-A3B-Thinking 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 2 Small compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

Inkling 2 Small scores GPQA: 93.0%, BrowseComp: 90.2%, CharXiv-R: 85.6%, MCP Atlas: 85.0%, SWE-Bench Verified: 82.2%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is Inkling 2 Small cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 2.0x cheaper for input tokens. Inkling 2 Small costs $0.30/M input and $1.00/M output via thinking-machines. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for Inkling 2 Small and Qwen3-Next-80B-A3B-Thinking?

Inkling 2 Small supports 256K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Inkling 2 Small and Qwen3-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (47.2 vs 23.1), context window (256K vs 66K), input pricing ($0.30 vs $0.15/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling 2 Small and Qwen3-Next-80B-A3B-Thinking?

Inkling 2 Small is developed by Thinking Machines Lab and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.

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