Inkling-Small vs Qwen3.7 Max: Specs & Benchmark Comparison
| Characteristic | Inkling-Small | Qwen3.7 Max |
|---|---|---|
| Company | Thinking Machines Lab | Alibaba |
| Release Date | July 30, 2026 | May 19, 2026 |
| Parameters | 276B | — |
| Multimodal | Yes | No |
| Context (input) | 256K | 1.0M |
| Context (output) | 256K | 66K |
| Input Price / 1M | $0.30 | $2.50 |
| Output Price / 1M | $1.20 | $7.50 |
| Average Score | 0.6 | 1.0 |
Verdict
Inkling-Small leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Inkling-Small — 0.6, Qwen3.7 Max — 1.0.
API Cost
Inkling-Small is 6.7x cheaper: input $0.30/1M vs $2.50/1M tokens.
Context Window
Qwen3.7 Max supports a larger context: 1M vs 256K tokens.
Recency
Inkling-Small is newer: released 7/30/2026 vs 5/19/2026.
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Frequently Asked Questions
Which is better for coding — Inkling-Small or Qwen3.7 Max?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Inkling-Small or Qwen3.7 Max?
Inkling-Small is cheaper for input: $0.30 per 1M tokens vs $2.50.
Which has a larger context window — Inkling-Small or Qwen3.7 Max?
Qwen3.7 Max supports a larger context: 1,000,000 tokens vs 256,000.
The Inkling-Small and Qwen3.7 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Inkling-Small or Qwen3.7 Max page. See also the complete list of AI model comparisons.