Model comparison
Inkling vs Kimi K3
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; Kimi K3 unranked
Evidence parity. Inkling and Kimi K3 share 1 comparable benchmark result. 1 of 8 categories are comparable. 15 results are unique to Inkling; 2 to Kimi K3.
Updated July 16, 2026- Shared results
- 1
- Inkling only
- 15
- Kimi K3 only
- 2
- Comparable categories
- 1 / 8
Pick Kimi K3 if you want the stronger benchmark profile. Inkling only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K3 is clearly ahead on the provisional aggregate, 73 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K3's sharpest advantage is in agentic, where it averages 91.2 against 69.4. The single biggest benchmark swing on the page is BrowseComp, 77.1% to 91.2%.
Kimi K3 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.87 input / $4.68 output per 1M tokens for Inkling. That is roughly 3.2x on output cost alone. Kimi K3 is the reasoning model in the pair, while Inkling is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Inkling | Δ | Kimi K3 |
|---|---|---|---|
| Agentic | Inkling69.4 | Margin→ 21.8 | Kimi K391.2 |
| Coding | Inkling68.6 | MarginNo overlap | Kimi K3Not measured |
| Knowledge | Inkling51.7 | MarginNo overlap | Kimi K3Not measured |
| Math | Inkling97.1 | MarginNo overlap | Kimi K3Not measured |
| Multimodal | Inkling76.5 | MarginNo overlap | Kimi K3Not measured |
| Inst. Following | Inkling79.8 | MarginNo overlap | Kimi K3Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 77.1%B 91.2%Winner: Kimi K3Δ 14.1BrowseComp: Inkling scored 77.1%; Kimi K3 scored 91.2%. Kimi K3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | Kimi K3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | Kimi K3$3 input / $15 output | Inkling has the lower combined listed price. |
| Generation speedtokens per second | InklingNot available | Kimi K3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | Kimi K3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | Kimi K31M | Listed context windows are equal. |
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, Inkling or Kimi K3?
Kimi K3 is ahead on BenchLM's provisional leaderboard, 73 to 69. The biggest single separator in this matchup is BrowseComp, where the scores are 77.1% and 91.2%.
Which is better for agentic tasks, Inkling or Kimi K3?
Kimi K3 has the edge for agentic tasks in this comparison, averaging 91.2 versus 69.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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