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Inkling-Small vs Qwen3.7 Max

Qwen3.7 Max leads the LLM Stats Score 46.0 to 39.3. Inkling-Small is 3.6x cheaper per token.

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

Which is better?

Qwen3.7 Max leads the overall LLM Stats Score 46.0 to 39.3, ranking #25 overall.

In the 8 individual benchmarks reported for both models, Qwen3.7 Max wins 6; this is a narrower head-to-head signal than the composite indexes.

On price, Inkling-Small is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.7 Max also accepts a larger context window (1,000,000 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-Small

  • cost matters — it's about 3.6x cheaper per token
  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

Choose Qwen3.7 Max

  • overall performance matters — it scores 46.0 and ranks #25 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 8 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window

At a glance

The differences that matter most.

Inkling-Small
Thinking Machines Lab
Qwen3.7 Max
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
39.3
#53
46.0
#25
Reasoning
39.0
#52
46.8
#19
Coding
31.1
#45
38.2
#20
Agents
24.8
#45
30.6
#27
Cost, coverage & limits
Benchmark wins
2 of 8
6 of 8
Input price
$0.30 / M
$1.25 / M
Output price
$1.20 / M
$3.75 / M
Context window
256,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Inkling-Small
Qwen3.7 Max
Math
34.2#46
43.4#2
Vision
19.6#64
25.5#38
Tool use
23.3#38
27.8#18
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for Inkling-Small · 42 for Qwen3.7 Max

8 shared

Inkling-Small outperforms in 2 benchmarks (IFBench, MCP Atlas), while Qwen3.7 Max is better at 6 benchmarks (CritPT, GPQA, Humanity's Last Exam, SciCode, SWE-Bench Pro, SWE-Bench Verified).

Qwen3.7 Max shows notably better performance in the majority of benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Inkling-Small costs less

For input processing, Inkling-Small ($0.30/1M tokens) is 4.2x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, Inkling-Small ($1.20/1M tokens) is 3.1x cheaper than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, Qwen3.7 Max is more expensive than Inkling-Small.*

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

Lowest available price from all providers
Fri Aug 28 2026 • llm-stats.com
Thinking Machines Lab
Inkling-Small
Input tokens$0.30
Output tokens$1.20
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.7 Max accepts 1,000,000 input tokens compared to Inkling-Small's 256,000 tokens. Inkling-Small can generate longer responses up to 256,000 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling-Small supports multimodal inputs, whereas Qwen3.7 Max does not.

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

Inkling-Small

Text
Images
Audio
Video

Qwen3.7 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while Qwen3.7 Max 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

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while Qwen3.7 Max was released on 2026-05-19.

Inkling-Small is 2 months newer than Qwen3.7 Max.

Inkling-Small

Jul 30, 2026

4 weeks ago

2mo newer
Qwen3.7 Max

May 19, 2026

3 months 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-Small is available from Thinking Machines Lab. Qwen3.7 Max is available from Novita, Together.

Inkling-Small

thinking-machines logo
Unknown Organization
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

Qwen3.7 Max

novita logo
Novita
Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Inkling-Small and Qwen3.7 Max side-by-side, then vote on the output you prefer.

Inkling-Small
✓ Preferred
Qwen3.7 Max
Open in Playground

FAQ

Common questions about Inkling-Small vs Qwen3.7 Max.

Which is better, Inkling-Small or Qwen3.7 Max?

Qwen3.7 Max leads the LLM Stats Score 46.0 to 39.3. Inkling-Small is made by Thinking Machines Lab and Qwen3.7 Max 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 Qwen3.7 Max 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%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is Inkling-Small cheaper than Qwen3.7 Max?

Inkling-Small is 4.2x cheaper for input tokens. Inkling-Small costs $0.30/M input and $1.20/M output via thinking-machines. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for Inkling-Small and Qwen3.7 Max?

Inkling-Small supports 256K tokens and Qwen3.7 Max supports 1.0M 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 Qwen3.7 Max?

Key differences include LLM Stats Score (39.3 vs 46.0), context window (256K vs 1.0M), input pricing ($0.30 vs $1.25/M), multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and Qwen3.7 Max?

Inkling-Small is developed by Thinking Machines Lab and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.

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