Grok 4.6 vs Kimi K3
Full profiles: Grok 4.6 (SpaceXAI) and Kimi K3 (Moonshot AI): every benchmark, price and rank.
Updated · Data from 9 sources
As of 25 Oct 2026, Grok 4.6 (medium) and Kimi K3 (max) are neck and neck on quality (64.2 vs 64.8 on the BenchLeader Index, inside the ±5.4 margin of error), and Grok 4.6 (medium) costs 2.0× less, which makes it the better buy for most workloads. Pick Grok 4.6 for agents & tools (74 vs 59); pick Kimi K3 for long context (70 vs 66).
Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | Kimi K3 | 65 vs 62 category score; SciCode 59.5% vs 55.9% | Medium |
| Agents & tool use | Grok 4.6 | 74 vs 59 category score; τ³-Banking (AA) 44.3% vs 46.0% | High |
| Reasoning | Kimi K3 | 66 vs 64 category score; CritPt 23.4% vs 17.7% | Medium |
| Knowledge | Grok 4.6 | 74 vs 63 category score; AA-Omniscience 28 vs 19.7 | High |
| Long documents | Kimi K3 | 70 vs 66 category score; AA-LCR 88.7% vs 81.0% | Medium |
| Chat quality (human preference) | – | Only Kimi K3 has an Arena rating (68 category score) | Not comparable |
| Lowest cost | Grok 4.6 | $3.00 vs $6.00 per 1M blended; agentic coding session $0.144 vs $0.240 | – |
| Fastest first answer | Grok 4.6 | 25.5 s (Grok 4.6 (medium)) vs 52.6 s (Kimi K3 (max)) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- Grok 4.6 (medium) and Kimi K3 (max) are neck and neck on quality (64.2 vs 64.8, within the ±5.4 margin).
- Grok 4.6 (medium) is stronger in agents & tools, knowledge.
- Kimi K3 (max) is stronger in coding, composite, long context, reasoning, human preference, maths, multimodal.
- Grok 4.6 (medium) is 2.0× cheaper ($3.00 vs $6.00 per 1M blended).
- Grok 4.6 (medium) streams 1.9× faster (78 vs 41 tokens per second).
At a glance
| Spec | Grok 4.6 | Kimi K3 |
|---|---|---|
| Developer | SpaceXAI | Moonshot AI |
| Released | 11 Aug 2026 | 16 Jul 2026 |
| Context window (tokens) | 500,000 | 1,048,576 |
| Compared at | Grok 4.6 (medium) | Kimi K3 (max) |
| Open weights | No | Yes |
| Price in / out / cached input per 1M | $2.00 / $6.00 / $0.500 | $3.00 / $15.00 / $0.300 |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | Grok 4.6 (medium) | Kimi K3 (max) | Leader |
|---|---|---|---|
| Reasoning | 64.4 | 66.4 | Kimi K3 |
| Coding | 62.3 | 64.6 | Kimi K3 |
| Agents & tools | 73.5 | 59.4 | Grok 4.6 |
| Maths | – | 63.4 | not comparable |
| Knowledge | 74.1 | 62.8 | Grok 4.6 |
| Human preference | – | 68.1 | not comparable |
| Multimodal | – | 63.6 | not comparable |
| Long context | 65.6 | 69.6 | Kimi K3 |
| Composite | 77.4 | 78.3 | level |
Where sources disagree
Across the 17 benchmarks both have, Grok 4.6 leads 5, Kimi K3 leads 11 and 1 is a tie. Every overall index that rates both puts Kimi K3 ahead.
| Overall index | Grok 4.6 (medium) | Kimi K3 (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 64.2 | 64.8 | neck and neck |
| AA Intelligence Index v4.3.2 | 42.8 | 43.6 | Kimi K3 |
| Arena Text | 1456† | 1487 | Kimi K3 |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.
| Measure | Grok 4.6 (medium) | Kimi K3 (max) |
|---|---|---|
| Blended price per 1M tokens | $3.00 | $6.00 |
| Input / output per 1M | $2.00 / $6.00 | $3.00 / $15.00 |
| Cached input per 1M | $0.500 | $0.300 |
| Price per task: chat reply | $0.0026 | $0.0057 |
| Price per task: summarize a 30-page report | $0.028 | $0.045 |
| Price per task: code edit | $0.021 | $0.041 |
| Price per task: agentic coding session | $0.144 | $0.240 |
| Price per task: structured extraction | $0.0052 | $0.0090 |
| Cost to run a full benchmark suite | $1.14 | $2.00 |
| Output speed | 78 tok/s | 41 tok/s |
| Time to first answer | 25.5 s | 52.6 s |
| Time to a complete answer | 31.9 s | 65.0 s |
Per token is not per task: on Artificial Analysis' full suite Grok 4.6 (medium) cost $1.14 and Kimi K3 (max) $2.00, because Grok 4.6 (medium) used about 1.1× as many tokens for the same work.
Each model is compared at its best-ranked reasoning-effort setting. Grok 4.6 (medium) scores 64.2 and takes 25 s to its first answer token; Grok 4.6 (high) scores 62.9 in 25 s, Grok 4.6 (xhigh) scores 62.5 in 29 s. Kimi K3 (max) scores 64.8 and takes 53 s to its first answer token; Kimi K3 scores 58.8 in 1 s, Kimi K3 (low) scores 58.2 in 57 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
140 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | Grok 4.6 (medium) | Kimi K3 (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 64.2 | 64.8 |
| Agents & tools score | BenchLeader | 73.5 | 59.4 |
| Coding score | BenchLeader | 62.3 | 64.6 |
| Composite score | BenchLeader | 77.4 | 78.3 |
| Knowledge score | BenchLeader | 74.1 | 62.8 |
| Long context score | BenchLeader | 65.6 | 69.6 |
| Reasoning score | BenchLeader | 64.4 | 66.4 |
| Human preference score | BenchLeader | – | 68.1 |
| Maths score | BenchLeader | – | 63.4 |
| Multimodal score | BenchLeader | – | 63.6 |
| Blended price $/M | BenchLeader | $3.00 | $6.00 |
| Output speed | BenchLeader | 78 tok/s | 41 tok/s |
| Time to first answer | BenchLeader | 25.5 s | 52.6 s |
| Context window | BenchLeader | 500,000 tokens | 1,048,576 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 94.0%† | 93.1% |
| SimpleBench | SimpleBench | 75.9%† | 60.7% |
| Arena Hard Prompts | Arena (LMArena) | 1482† | 1516 |
| LiveBench 2.0 Reasoning | LiveBench | 91.2%† | 90.7%† |
| LiveBench 1.0 Reasoning | LiveBench | 90.5%† | 90.7%† |
| GPQA Diamond (AA) | Artificial Analysis | 93.5% | 93.5% |
| Humanity's Last Exam (AA) | Artificial Analysis | 42.1% | 46.9% |
| GPQA Diamond (Vals) | Vals AI | 94.7%† | 92.9%† |
| ARC-AGI-1 | ARC Prize | 87.5% | 94.5% |
| ARC-AGI-2 | ARC Prize | 61.3% | 60.4% |
| ARC-AGI-3 | ARC Prize | 2.1%† | – |
| CritPt | Artificial Analysis | 17.7% | 23.4% |
| MysteryMechanism | Vals AI | 30.6%† | – |
| Chess Puzzles | Epoch AI Benchmarking Hub | 33.0%† | 36.0% |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 34.0%† | 26.0% |
| LMCA | Epoch AI Benchmarking Hub | 48.5%† | 52.7% |
| DTBench | Epoch AI Benchmarking Hub | 97.3%† | 91.2% |
| ForecastBench | ForecastBench | 65.5%† | 64.6% |
| Coding | |||
| SciCode | SciCode | 55.9% | 59.5% |
| WeirdML | WeirdML | 67.3%† | 82.6% |
| FrontierCode | Cognition | 48.0%† | 44.2%† |
| Arena Coding | Arena (LMArena) | 1510† | 1539 |
| Arena WebDev | Arena (LMArena) | 1617† | 1655 |
| LiveBench 2.0 Coding | LiveBench | 89.1%† | 59.3%† |
| LiveBench 1.0 Coding | LiveBench | 76.8%† | 81.5%† |
Show all 140 benchmarks
| Metric | Publisher | Grok 4.6 (medium) | Kimi K3 (max) |
|---|---|---|---|
| Coding | |||
| LiveCodeBench | Vals AI | 88.2%† | 87.2% |
| IOI | Vals AI | 47.6%† | 48.9% |
| SWE-bench (Vals) | Vals AI | 95.6%† | 93.4%† |
| Code Migration | Vals AI | 44.6%† | 16.1% |
| Code Migration v1.1 | Vals AI | – | 28.6% |
| ProgramBench | Vals AI | 1.0%† | 2.0%† |
| SWE-bench Multimodal | Vals AI | – | 44.2% |
| Vibe Code Bench 1-100 | Vals AI | 14.8%† | 18.2% |
| Vibe Code Bench v1.1 | Vals AI | 76.2%† | 85.0% |
| Surface Evolver Bench | Epoch AI Benchmarking Hub | – | 93.0% |
| DeepSWE v1.1 | Epoch AI Benchmarking Hub | 67.5% | 68.5% |
| CursorBench | Cursor | 36.1% | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 1508.1† | 1524.5 |
| FrontierSWE | Epoch AI Benchmarking Hub | 25.3%† | 25.9% |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 13.1% | 12.6% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | 84.3% | 85.0% |
| Startrise Frontend | Startrise | 72.1%† | 79.8%† |
| FrontierCode 1.1 (AA) | Artificial Analysis | – | 43.6% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 20.3%† | – |
| APEX-Agents | Mercor | 65.3%† | 47.8%† |
| Arena Agent | Arena (LMArena) | 0.6† | 1.6 |
| LiveBench Long Agentic | LiveBench | 40.7%† | 42.8%† |
| LiveBench Browser | LiveBench | 64.0%† | 16.0%† |
| LiveBench Agentic Coding | LiveBench | 57.0%† | 62.2%† |
| Terminal-Bench 2.1 (Vals) | Vals AI | 78.3%† | 80.9%† |
| MCP Atlas | Scale AI SEAL | – | 82.3% |
| HiL-Bench | Scale AI SEAL | – | 42.7%† |
| τ³-bench Banking | τ²-bench | – | 37.1% |
| τ³-Banking (AA) | Artificial Analysis | 44.3% | 46.0% |
| ITBench SRE (AA) | Artificial Analysis | – | 47.7% |
| Analyst Agent (AA) | Artificial Analysis | 41.3%† | 38.8% |
| APEX-Agents (AA) | Artificial Analysis | – | 41.3% |
| CyberBench | Vals AI | 67.7%† | 75.2% |
| Finance Agent v2 | Vals AI | 53.7%† | 53.1% |
| Finance Agent v2.1 | Vals AI | – | 60.0% |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | – | 12.9% |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 15.8%† | 12.9% |
| Legal Research Bench | Vals AI | 48.1%† | 46.1% |
| SkillsBench | Vals AI | 55.8%† | – |
| Tax Agent Bench | Vals AI | 33.1%† | 33.4% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 17.2%† | 17.2% |
| Terminal-Bench Science | Vals AI | 11.4%† | 1.4% |
| Time Horizon Index: KSP | Vals AI | 5.8%† | 10.5% |
| PostTrainBench | Epoch AI Benchmarking Hub | – | 32.0%† |
| GBAEval | Epoch AI Benchmarking Hub | – | 48.4%† |
| Vending-Bench 2 | Andon Labs | 9047.0† | 5165.0† |
| AutomationBench | Artificial Analysis | 63.1% | 58.3% |
| GDP.pdf (AA) | Artificial Analysis | 17.8% | 22.0% |
| Harvey LAB-AA v1.1 | Harvey | – | 5.3% |
| EnterpriseOps-Gym | Artificial Analysis | 48.3%† | 45.3% |
| AA-Briefcase v1.1 | Artificial Analysis | 1531† | 1499 |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 6.2%† | 8.1% |
| CWE-Bench (AA) | Artificial Analysis | – | 53.3% |
| DeepSec-Bench (AA) | Artificial Analysis | – | 12.4% |
| CyberGym end-to-end (AA) | Artificial Analysis | – | 58.0% |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 66.0%† | 72.2% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 31.7%† | 39.0% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 97.8%† | 97.2% |
| ProofBench | Vals AI | 51.0%† | 87.0%† |
| LiveBench Mathematics | LiveBench | 92.6%† | 84.4%† |
| AIME 2026 | MathArena | – | 96.7%† |
| HMMT February 2026 | MathArena | – | 97.0%† |
| MathArena Apex | MathArena | – | 65.6%† |
| Arena Maths | Arena (LMArena) | 1445† | 1499 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 49.3%† | 50.6% |
| LiveBench 2.0 Data Analysis | LiveBench | 75.3%† | 78.7%† |
| LiveBench Research | LiveBench | 84.5%† | 79.0%† |
| LiveBench 1.0 Data Analysis | LiveBench | 73.9%† | 78.7%† |
| AA-Omniscience | Artificial Analysis | 28 | 19.7 |
| MMLU-Pro | Vals AI | 89.4%† | 88.0% |
| LegalBench | Vals AI | 86.3%† | 86.2% |
| CorpFin | Vals AI | 66.2%† | 71.6%† |
| TaxEval | Vals AI | 71.1%† | 75.7%† |
| BioMysteryBench | Vals AI | 72.2%† | 72.6% |
| Excel Modeling Benchmark | Vals AI | 62.7%† | 66.7% |
| Excel Modeling Benchmark v1.1 | Vals AI | – | 71.3% |
| MedCode | Vals AI | 44.7%† | 49.4% |
| MedScribe | Vals AI | 86.5%† | 88.0% |
| Public Benefits Bench v1.1 | Vals AI | 66.8%† | 68.2% |
| EBR-bench | Epoch AI Benchmarking Hub | 30.5%† | – |
| GDP.pdf | Epoch AI Benchmarking Hub | 16.0%† | 19.0% |
| AA-Omniscience: accuracy | Artificial Analysis | 41.9% | 47.6% |
| AA-Omniscience: non-hallucination | Artificial Analysis | 76.0% | 46.8% |
| Instruction following | |||
| LiveBench Language | LiveBench | 83.7%† | 85.5%† |
| LiveBench Instruction Following | LiveBench | 71.9%† | 71.4%† |
| Arena Instruction Following | Arena (LMArena) | 1452† | 1489 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1456† | 1487 |
| EQ-Bench 4 | EQ-Bench | – | 1318† |
| Arena Creative Writing | Arena (LMArena) | 1443† | 1462 |
| Arena Multi-turn | Arena (LMArena) | 1448† | 1502 |
| Arena Longer Queries | Arena (LMArena) | 1475† | 1503 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1263† | – |
| LiveBench Design | LiveBench | 79.8%† | 77.2%† |
| MMMU-Pro | Artificial Analysis | – | 80.5% |
| MMMU-Pro (Vals) | Vals AI | – | 88.2%† |
| MortgageTax | Vals AI | 64.2%† | 66.3%† |
| SAGE | Vals AI | 28.9%† | 52.8% |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 33.2%† | 29.5%† |
| AA-3D | Artificial Analysis | – | 982 |
| Long context | |||
| AA-LCR | Artificial Analysis | 81.0% | 88.7% |
| Arena Document | Arena (LMArena) | 1461† | – |
| MLCR | Artificial Analysis | 18.3% | 21.7% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 156.6† | 157.9† |
| LiveBench 2.0 | LiveBench | 74.9%† | 63.4%† |
| LiveBench 1.0 | LiveBench | 78.0%† | 79.2%† |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 42.8 | 43.6 |
| Vals Index | Vals AI | – | 53.0 |
| Vals Finance Index | Vals AI | – | 58.0% |
| Vals RSI Index | Vals AI | 25.5%† | 20.9% |
| Vals Science Index | Vals AI | 38.1%† | – |
| Vals Multimodal Index | Vals AI | – | 73.4%† |
| Vals Router Index | Vals AI | – | 53.0%† |
| AA Cyber Index | Artificial Analysis | – | 41.3 |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | – | 26.6% |
| Metadata | |||
| AA Openness Index | Artificial Analysis | – | 38.9 |
Data as of 2026-10-25. Best configuration of each model; every score links to its source on the model pages.
What changed
- Kimi K3 (max): 7 new results (Code Migration v1.1, Excel Modeling Benchmark v1.1, Finance Agent v2.1…).
- Grok 4.6 (medium): 1 new result (MLCR).
- Kimi K3 (max): 1 new result (Terminal-Bench-Science 0.1 (AA)); 1 score revision.
- Kimi K3 (max): 3 score revisions.
- Kimi K3 (max): 1 score revision.
- Grok 4.6 (medium): 15 new results (AA Intelligence Index v4.3.2, GPQA Diamond (AA), Humanity's Last Exam (AA)…).
- Kimi K3 (max): 1 new result (τ³-bench Banking).
- Kimi K3 (max): 8 new results (LegalBench, Vals Index, Finance Agent v2…); 5 score revisions.
- Grok 4.6 (medium): 1 score revision.
- Kimi K3 (max): 3 score revisions.
Related comparisons
- Grok 4.6 vs Claude Opus 5.5
- Grok 4.6 vs Gemini 4 Argon
- Grok 4.6 vs Muse Wonder Full
- Kimi K3 vs Claude Opus 5.5
- Kimi K3 vs Gemini 4 Argon
- Kimi K3 vs Muse Wonder Full
- Kimi K3 vs Claude Fable 5.1
- Grok 4.6 vs GPT-6 Astra
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
Grok 4.6 vs Kimi K3: questions
- Is Grok 4.6 better than Kimi K3?
- Grok 4.6 (medium) and Kimi K3 (max) are neck and neck on quality (64.2 vs 64.8, within the ±5.4 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 2026-10-25, so check the category scores for your use.
- Which is cheaper, Grok 4.6 or Kimi K3, and will that change?
- Grok 4.6 is cheaper today: $3.00 against $6.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is Grok 4.6 better than Kimi K3 for coding?
- Kimi K3 scores higher in coding (65 vs 62 on the category index, where 50 is average). On SciCode, the top shared coding benchmark, it is 55.9% for Grok 4.6 against 59.5% for Kimi K3.
- Is Grok 4.6 better than Kimi K3 for agents and tool use?
- Grok 4.6 scores higher in agentic tasks (74 vs 59 on the category index, where 50 is average). On τ³-Banking (AA), the top shared agents & tools benchmark, it is 44.3% for Grok 4.6 against 46.0% for Kimi K3.
- Which is better for long documents?
- Kimi K3 scores higher on long-context benchmarks (70 vs 66). Kimi K3 accepts more context: 1,048,576 against 500,000 tokens for Grok 4.6.
- Which has lower latency?
- Grok 4.6 (medium) answers first: 25.5 s against 52.6 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Which is faster, Grok 4.6 or Kimi K3?
- Grok 4.6 streams faster: 78 against 41 output tokens per second.
- Do independent benchmarks agree on Grok 4.6 vs Kimi K3?
- Across the 17 benchmarks both have, Grok 4.6 leads 5, Kimi K3 leads 11 and 1 is a tie. Every overall index that rates both puts Kimi K3 ahead.
- When was Grok 4.6 released?
- Grok 4.6 was released on 11 Aug 2026.