Inkling-Small vs Qwen3.8 Max: Specs & Benchmark Comparison
| Characteristic | Inkling-Small | Qwen3.8 Max |
|---|---|---|
| Company | Thinking Machines Lab | Alibaba |
| Release Date | July 30, 2026 | August 2, 2026 |
| Parameters | 276B | 2.4T |
| Multimodal | Yes | Yes |
| Context (input) | 256K | 1.0M |
| Context (output) | 256K | 131K |
| Input Price / 1M | $0.30 | $2.50 |
| Output Price / 1M | $1.20 | $6.25 |
| Average Score | 0.6 | 0.9 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: Inkling-Small — 0.6, Qwen3.8 Max — 0.9.
API Cost
Inkling-Small is 5.8x cheaper: input $0.30/1M vs $2.50/1M tokens.
Context Window
Qwen3.8 Max supports a larger context: 1M vs 256K tokens.
Recency
Both models were released around the same time: 7/30/2026 and 8/2/2026.
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Frequently Asked Questions
Which is better for coding — Inkling-Small or Qwen3.8 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 Qwen3.8 Max?
Inkling-Small is cheaper for input: $0.30 per 1M tokens vs $2.50.
Which has a larger context window — Inkling-Small or Qwen3.8 Max?
Qwen3.8 Max supports a larger context: 1,000,000 tokens vs 256,000.
The Inkling-Small and Qwen3.8 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 Qwen3.8 Max page. See also the complete list of AI model comparisons.