Inkling-Small vs Kimi K3: Specs & Benchmark Comparison
| Characteristic | Inkling-Small | Kimi K3 |
|---|---|---|
| Company | Thinking Machines Lab | Moonshot AI |
| Release Date | July 30, 2026 | July 16, 2026 |
| Parameters | 276B | 2.8T |
| Multimodal | Yes | Yes |
| Context (input) | 256K | 1.0M |
| Context (output) | 256K | 1.0M |
| Input Price / 1M | $0.30 | $3.00 |
| Output Price / 1M | $1.20 | $15.00 |
| Average Score | 0.6 | 1.0 |
| Benchmarks | ||
| GPQA | 0.9 | 0.9 |
Visual Benchmark Comparison
Inkling-Small
Kimi K3
GPQA0.9 vs 0.9
0.9
0.9
Verdict
Inkling-Small leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Inkling-Small — 0.6, Kimi K3 — 1.0.
API Cost
Inkling-Small is 12.0x cheaper: input $0.30/1M vs $3.00/1M tokens.
Context Window
Kimi K3 supports a larger context: 1M vs 256K tokens.
Recency
Inkling-Small is newer: released 7/30/2026 vs 7/16/2026.
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Frequently Asked Questions
Which is better for coding — Inkling-Small or Kimi K3?
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 Kimi K3?
Inkling-Small is cheaper for input: $0.30 per 1M tokens vs $3.00.
Which has a larger context window — Inkling-Small or Kimi K3?
Kimi K3 supports a larger context: 1,000,000 tokens vs 256,000.
The Inkling-Small and Kimi K3 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 Kimi K3 page. See also the complete list of AI model comparisons.