Compare / head-to-head
Inkling-Smallvs
Kimi K3
Kimi K3 leads 14 of 14 shared benchmarks. Inkling-Small is 12x cheaper per token. Kimi K3 has the larger context window (1.0M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 14
Kimi K3 leads
Cheaper per token
Inkling-Small
12x cheaper, input + output
Larger context
Kimi K3
1.0M tokens
Providers
2 providers
Thinking Machines Lab · Moonshot AI
Inkling-Small
Thinking Machines Lab · released 2026-07-30
textvisionaudio
Quality
Benchmark matrix
14 shared · 14 only Inkling-Small · 66 only Kimi K3| Benchmark | Inkling-Small | Kimi K3 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 14 | ||||
| GPQA Diamond | 88.5% ↗epoch run | 93.5% ↗ | -5 pt | Kimi K3 |
| AIME 2026 | 95.5% ↗ | 96.7% ↗matharena ⚠ | -1.2 pt | Kimi K3 |
| LMArena Elo | 1405.2 ↗ | 1488.4 ↗ | -83.2 | Kimi K3 |
| Chess Puzzles (Epoch AI run) | 18% ↗epoch run | 39% ↗epoch run | -21 pt | Kimi K3 |
| FrontierMath Tier 4 v2 (Epoch AI run) | 17.1% ↗epoch run | 39% ↗epoch run | -21.9 pt | Kimi K3 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 46.3% ↗epoch run | 72.2% ↗epoch run | -25.9 pt | Kimi K3 |
| LMArena Agent (LMArena) | -0.1033 ↗ | 0.0418 ↗ | -0.1 | Kimi K3 |
| LMArena WebDev (LMArena) | 1408.2 ↗ | 1657.8 ↗ | -249.6 | Kimi K3 |
| Mystery Game Puzzles (Epoch AI run) | 6% ↗epoch run | 26% ↗epoch run | -20 pt | Kimi K3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 90% ↗epoch run | 97.2% ↗epoch run | -7.2 pt | Kimi K3 |
| SAGE (Vals AI) | 32.7% ↗ | 52.8% ↗ | -20.1 pt | Kimi K3 |
| SimpleQA Verified | 20.6% ↗ | 50.6% ↗epoch run | -30 pt | Kimi K3 |
| Terminal-Bench 4.0 (Vals AI) | 0% ↗ | 17.2% ↗ | -17.2 pt | Kimi K3 |
| Toolathlon-Verified (HKUST) | 54.4% ↗ | 76.5% ↗ | -22.1 pt | Kimi K3 |
| Only Inkling-Small reports · 14 | ||||
| SWE-bench Verified | 80.2% ↗ | not reported | — | — |
| ARC-AGI-1 | 84% ↗ | not reported | — | — |
| ARC-AGI-2 | 40.1% ↗ | not reported | — | — |
| BrowseComp (with context management) | 77.4% ↗ | not reported | — | — |
| CharXiv RQ | 77.4% ↗ | not reported | — | — |
| CharXiv RQ (with python) | 81.3% ↗ | not reported | — | — |
| HMMT Feb 2026 | 90.2% ↗ | not reported | — | — |
| IFBench | 82.2% ↗ | not reported | — | — |
| LMArena Vision (LMArena) | 1206.3 ↗ | not reported | — | — |
| MCP Atlas (all) | 79.2% ↗ | not reported | — | — |
| MMAU | 77% ↗ | not reported | — | — |
| SWE-bench Pro (public) | 55.9% ↗ | not reported | — | — |
| Terminal-Bench 2.1 (best harness) | 64.7% ↗ | not reported | — | — |
| Toolathlon Verified | 54.4% ↗ | not reported | — | — |
| Only Kimi K3 reports · 66 | ||||
| Humanity's Last Exam (no tools) | not reported | 43.5% ↗ | — | — |
| AA-Briefcase | not reported | 1548 ↗ | — | — |
| AA-LCR | not reported | 74.7% ↗ | — | — |
| Agents' Last Exam | not reported | 28.3% ↗ | — | — |
| APEX-Agents | not reported | 41% ↗ | — | — |
| APEX-Agents (Mercor) | not reported | 50.6% ↗ | — | — |
| AutomationBench | not reported | 30.8% ↗ | — | — |
| BabyVision (with Python) | not reported | 85.7% ↗ | — | — |
| BrowseComp (1M context, no compaction) | not reported | 90.4% ↗ | — | — |
| BrowseComp (context compaction) | not reported | 91.2% ↗ | — | — |
| CharXiv Reasoning (no tools) | not reported | 84.8% ↗ | — | — |
| CharXiv Reasoning (with Python) | not reported | 91.3% ↗ | — | — |
| CorpFin v2 | not reported | 71.6% ↗ | — | — |
| CritPt | not reported | 23.4% ↗ | — | — |
| DeepSearchQA (F1) | not reported | 95% ↗ | — | — |
| DeepSWE v1.1 | not reported | 67.3% ↗ | — | — |
| DeepSWE v1.1 (Datacurve) | not reported | 68.5% ↗ | — | — |
| DeepSWE v1.1 (Kimi Code) | not reported | 67.5% ↗ | — | — |
| Finance Agent v2 | not reported | 54.4% ↗ | — | — |
| FrontierSWE | not reported | 81.2% ↗ | — | — |
| FrontierSWE V2 (Proximal Labs) | not reported | 25.9% ↗ | — | — |
| Furniture Assembly (Epoch AI run) | not reported | 34.2% ↗epoch run | — | — |
| GDPval-AA v2 | not reported | 1686 ↗ | — | — |
| Harvey Lab-AA | not reported | 94.6% ↗ | — | — |
| Humanity's Last Exam (with tools) | not reported | 56% ↗ | — | — |
| JobBench | not reported | 54.3% ↗ | — | — |
| Kimi Code Bench 2.0 | not reported | 72.9% ↗ | — | — |
| Legal Research Bench | not reported | 44.2% ↗ | — | — |
| LiveBench Agentic Coding (LiveBench) | not reported | 62.2% ↗ | — | — |
| LiveBench Coding (LiveBench) | not reported | 81.4% ↗ | — | — |
| LiveBench Data Analysis (LiveBench) | not reported | 78.7% ↗ | — | — |
| LiveBench Instruction Following (LiveBench) | not reported | 71.4% ↗ | — | — |
| LiveBench Language (LiveBench) | not reported | 85.5% ↗ | — | — |
| LiveBench Mathematics (LiveBench) | not reported | 84.4% ↗ | — | — |
| LiveBench Reasoning (LiveBench) | not reported | 90.7% ↗ | — | — |
| MathVision (no tools) | not reported | 94.3% ↗ | — | — |
| MathVision (with Python) | not reported | 97.8% ↗ | — | — |
| MCP-Atlas | not reported | 84.2% ↗ | — | — |
| MCPMark-Verified | not reported | 94.5% ↗ | — | — |
| MLS-Bench-Lite | not reported | 48.3% ↗ | — | — |
| MMMU-Pro (no tools) | not reported | 81.6% ↗ | — | — |
| MMMU-Pro (with Python) | not reported | 83.4% ↗ | — | — |
| MMVU | not reported | 82.1% ↗ | — | — |
| OfficeQA Pro | not reported | 63.3% ↗ | — | — |
| OmniDocBench | not reported | 91.1% ↗ | — | — |
| OSWorld 2.0 | not reported | 58.3% ↗ | — | — |
| OSWorld-Verified | not reported | 84.8% ↗ | — | — |
| PerceptionBench | not reported | 58.5% ↗ | — | — |
| PostTrainBench | not reported | 36.6% ↗ | — | — |
| ProgramBench | not reported | 77.8% ↗ | — | — |
| ResearchRubrics | not reported | 76.2% ↗ | — | — |
| SaaS-Bench | not reported | 60.1% ↗ | — | — |
| SciCode | not reported | 58.7% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 60.7% ↗ | — | — |
| SpreadsheetBench 2 | not reported | 34.8% ↗ | — | — |
| SWE-Marathon | not reported | 42% ↗ | — | — |
| tau2-bench Banking Knowledge (Sierra) | not reported | 37.1% ↗ | — | — |
| tau3-Banking | not reported | 33.4% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 88.3% ↗ | — | — |
| Toolathlon-Verified | not reported | 76.5% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 5165.04 ↗ | — | — |
| Video-MME (with subtitles) | not reported | 90% ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 82.6% ↗ | — | — |
| WorldVQA ForceAnswer | not reported | 51% ↗ | — | — |
| ZeroBench pass@5 (no tools) | not reported | 23% ↗ | — | — |
| ZeroBench pass@5 (with Python) | not reported | 41% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Inkling-Small minus Kimi K3 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Inkling-Small | Kimi K3 | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1.0M tokens | Kimi K3 |
| Max output | — | 1.0M tokens | — |
| Input price / 1M | $0.3 ↗ | $3 ↗ | Inkling-Small |
| Output price / 1M | $1.2 ↗ | $15 ↗ | Inkling-Small |
| Cached input / 1M | $0.06 ↗ | $0.3 ↗ | Inkling-Small |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.5 | $18 | Inkling-Small |
| Modalities | text · vision · audio | text · vision | Inkling-Small |
| Released | 2026-07-30 | 2026-07-16 | — |
| Cited benchmark scores | 29 | 87 | — |
Reliability
Provider status
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