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Inkling 2 Small vs Qwen3-235B-A22B-Thinking-2507

Inkling 2 Small leads the LLM Stats Score 47.1 to 27.3. Inkling 2 Small is 2.1x 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 47.1 to 27.3, ranking #41 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.

On price, Inkling 2 Small is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Thinking-2507 also accepts a larger context window (262,144 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 47.1 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 2.1x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

Choose Qwen3-235B-A22B-Thinking-2507

  • you process long inputs — it offers a 262,144 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
47.1
#41
27.3
#176
47.8
#26
27.6
#167
33.3
#39
11.1
#146
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.30 / M
$0.30 / M
Output price
$1.00 / M
$3.00 / M
Context window
256,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Inkling 2 Small
Qwen3-235B-A22B-Thinking-2507
29.2#47
11.7#132
28.3#28
10.2#154
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Inkling 2 Small · 25 for Qwen3-235B-A22B-Thinking-2507

2 shared

Inkling 2 Small outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3-235B-A22B-Thinking-2507 is better at 0 benchmarks.

Inkling 2 Small significantly outperforms across most benchmarks.

Wed Nov 11 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) costs the same as Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Inkling 2 Small ($1.00/1M tokens) is 3.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Inkling 2 Small.*

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

Lowest available price from all providers
Wed Nov 11 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
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?

Model Size

Parameter count comparison

359.0B diff

Inkling 2 Small has 359.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 152.8% larger.

Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
594.0B
Inkling 2 Small
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Inkling 2 Small's 256,000 tokens. Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling 2 Small supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 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

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 2 Small is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 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

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Inkling 2 Small was released on 2026-11-05, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Inkling 2 Small is 16 months newer than Qwen3-235B-A22B-Thinking-2507.

Inkling 2 Small

Nov 5, 2026

5 days ago

1.3yr newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.3 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. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Inkling 2 Small

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

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* 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 Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Inkling 2 Small
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

Common questions about Inkling 2 Small vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Inkling 2 Small or Qwen3-235B-A22B-Thinking-2507?

Inkling 2 Small leads the LLM Stats Score 47.1 to 27.3. Inkling 2 Small is made by Thinking Machines Lab and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 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%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is Inkling 2 Small cheaper than Qwen3-235B-A22B-Thinking-2507?

Both models cost $0.30 per million input tokens.

What are the context window sizes for Inkling 2 Small and Qwen3-235B-A22B-Thinking-2507?

Inkling 2 Small supports 256K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K 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 Qwen3-235B-A22B-Thinking-2507?

Key differences include LLM Stats Score (47.1 vs 27.3), context window (256K vs 262K), 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 Qwen3-235B-A22B-Thinking-2507?

Inkling 2 Small is developed by Thinking Machines Lab and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.