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Inkling vs Qwen3.7-Plus

Inkling and Qwen3.7-Plus are closely matched at 37.5 and 42.7 on the LLM Stats Score. Qwen3.7-Plus is 3.1x cheaper per token.

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

Which is better?

Inkling and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 37.5 and 42.7.

In the 5 individual benchmarks reported for both models, Qwen3.7-Plus wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3.7-Plus is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.7-Plus 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

  • 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-Plus

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • cost matters — it's about 3.1x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window

At a glance

The differences that matter most.

Inkling
Thinking Machines Lab
Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
37.5
#66
42.7
#44
Reasoning
37.3
#66
43.2
#40
Coding
27.5
#58
30.9
#46
Agents
20.7
#58
24.5
#51
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
Input price
$0.95 / M
$0.32 / M
Output price
$4.05 / M
$1.28 / M
Context window
524,288
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Inkling
Qwen3.7-Plus
Math
29.2#87
39.7#18
Vision
15.8#88
32.3#21
Tool use
19.1#60
23.2#41
Multimodal
19.6#69
35.2#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Inkling · 70 for Qwen3.7-Plus

5 shared

Inkling outperforms in 2 benchmarks (IFBench, MCP Atlas), while Qwen3.7-Plus is better at 3 benchmarks (CharXiv-R, MMMU-Pro, SWE-Bench Verified).

Qwen3.7-Plus has a slight edge in benchmark performance.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, Inkling ($0.95/1M tokens) is 3.0x more expensive than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, Inkling ($4.05/1M tokens) is 3.2x more expensive than Qwen3.7-Plus ($1.28/1M tokens).

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

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

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
Thinking Machines Lab
Inkling
Input tokens$0.95
Output tokens$4.05
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.7-Plus accepts 1,000,000 input tokens compared to Inkling's 524,288 tokens. Inkling can generate longer responses up to 524,288 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.

Thinking Machines Lab
Inkling
Input524,288 tokens
Output524,288 tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling and Qwen3.7-Plus support multimodal inputs.

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

Inkling

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling is licensed under Apache 2.0, while Qwen3.7-Plus uses a proprietary license.

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

Inkling

Apache 2.0

Open weights

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Inkling was released on 2026-07-21, while Qwen3.7-Plus was released on 2026-05-31.

Inkling is 2 months newer than Qwen3.7-Plus.

Inkling

Jul 21, 2026

1 months ago

1mo newer
Qwen3.7-Plus

May 31, 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 is available from DeepInfra. Qwen3.7-Plus is available from Together, Fireworks.

Inkling

deepinfra logo
Deepinfra
Input Price:Input: $0.95/1MOutput Price:Output: $4.05/1M

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* 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 and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

Inkling
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about Inkling vs Qwen3.7-Plus.

Which is better, Inkling or Qwen3.7-Plus?

Inkling and Qwen3.7-Plus are closely matched on the LLM Stats Score at 37.5 and 42.7. Inkling is made by Thinking Machines Lab and Qwen3.7-Plus 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 compare to Qwen3.7-Plus in benchmarks?

Inkling scores AIME 2026: 97.1%, VoiceBench Avg: 91.4%, Global-MMLU-Lite: 88.7%, IFBench: 79.8%, CharXiv-R: 78.1%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

Is Inkling cheaper than Qwen3.7-Plus?

Qwen3.7-Plus is 3.0x cheaper for input tokens. Inkling costs $0.95/M input and $4.05/M output via deepinfra. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

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

Inkling supports 524K tokens and Qwen3.7-Plus 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 and Qwen3.7-Plus?

Key differences include LLM Stats Score (37.5 vs 42.7), context window (524K vs 1.0M), input pricing ($0.95 vs $0.32/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling and Qwen3.7-Plus?

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

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