Model comparison
Grok 4.20 vs Kimi K2.6
Head-to-head evidence from 10 shared benchmark results across 4 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Grok 4.20 unranked; Kimi K2.6 #13
Evidence parity. Grok 4.20 and Kimi K2.6 share 10 comparable benchmark results. 3 of 8 categories are comparable. 9 results are unique to Grok 4.20; 50 to Kimi K2.6.
Updated July 13, 2026- Shared results
- 10
- Grok 4.20 only
- 9
- Kimi K2.6 only
- 50
- Comparable categories
- 3 / 8
Pick Kimi K2.6 if you want the stronger benchmark profile. Grok 4.20 only becomes the better choice if you need the larger 2M context window.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 4 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K2.6 is clearly ahead on the provisional aggregate, 74 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in agentic, where it averages 73.5 against 47.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 47.1% to 66.7%.
Grok 4.20 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. Grok 4.20 gives you the larger context window at 2M, compared with 256K for Kimi K2.6.
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 | Grok 4.20 | Δ | Kimi K2.6 |
|---|---|---|---|
| Agentic | Grok 4.2047.1 | Margin→ 26.4 | Kimi K2.673.5 |
| Coding | Grok 4.2061.1 | Margin→ 11.5 | Kimi K2.672.6 |
| Multimodal | Grok 4.2070.1 | Margin→ 9.7 | Kimi K2.679.8 |
| Reasoning | Grok 4.2053.3 | MarginNo overlap | Kimi K2.6Not measured |
| Knowledge | Grok 4.20Not measured | MarginNo overlap | Kimi K2.642.2 |
| Math | Grok 4.20Not measured | MarginNo overlap | Kimi K2.667.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 47.1%B 66.7%Winner: Kimi K2.6Δ 19.6Terminal-Bench 2.0: Grok 4.20 scored 47.1%; Kimi K2.6 scored 66.7%. Kimi K2.6 wins this benchmark. - Source ↗
CharXiv
MultimodalA 60.9%B 80.4%Winner: Kimi K2.6Δ 19.5CharXiv: Grok 4.20 scored 60.9%; Kimi K2.6 scored 80.4%. Kimi K2.6 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 51.8%B 58.6%Winner: Kimi K2.6Δ 6.8SWE-bench Pro: Grok 4.20 scored 51.8%; Kimi K2.6 scored 58.6%. Kimi K2.6 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 75.2%B 79.4%Winner: Kimi K2.6Δ 4.2MMMU-Pro: Grok 4.20 scored 75.2%; Kimi K2.6 scored 79.4%. Kimi K2.6 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 76.7%B 80.2%Winner: Kimi K2.6Δ 3.5SWE-bench Verified: Grok 4.20 scored 76.7%; Kimi K2.6 scored 80.2%. Kimi K2.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.20 | Kimi K2.6 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.20$2 input / $6 output | Kimi K2.6$0.95 input / $4 output | Kimi K2.6 has the lower combined listed price. |
| Generation speedtokens per second | Grok 4.20233 tok/s | Kimi K2.6Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok 4.2010.33 s | Kimi K2.6Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok 4.202M | Kimi K2.6256K | Grok 4.20 lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K2.6 wins22 benchmarks
| Benchmark | Grok 4.20 | Kimi K2.6 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 47.1% | 66.7% | Kimi K2.6 leads |
| DeepSearchQASource | 62.8% | 92.5% | Kimi K2.6 leads |
| Gert LabsSource | 38.36% | 56.82% | Kimi K2.6 leads |
| BrowseCompSource | — | 83.2% | Not comparable |
| OSWorld-VerifiedSource | — | 73.1% | Not comparable |
| ToolathlonSource | — | 50% | Not comparable |
| MCP AtlasSource | — | 55.9% | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| WideResearchSource | — | 80.8% | Not comparable |
| AA Agentic IndexSource | — | 30.3% | Not comparable |
| Tau2-TelecomSource | — | 95.9% | Not comparable |
| GDPval-AASource | — | 34.5% | Not comparable |
| GDPval-AASource | — | 1190 | Not comparable |
| APEX-Agents-AASource | — | 28.5% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
| OSWorld 2.0Source | — | 4.6% | Not comparable |
| AA BriefcaseSource | — | 809 | Not comparable |
| AA AutomationBenchSource | — | 19.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 38.5% | Not comparable |
| AA Harvey LABSource | — | 0.0% | Not comparable |
| AA ITBenchSource | — | 31.2% | Not comparable |
| AA Tau3 BankingSource | — | 20.6% | Not comparable |
CodingKimi K2.6 wins14 benchmarks
| Benchmark | Grok 4.20 | Kimi K2.6 | Result |
|---|---|---|---|
| LiveCodeBench ProSource | 74.2% | — | Not comparable |
| SWE-bench VerifiedSource | 76.7% | 80.2% | Kimi K2.6 leads |
| SWE-bench ProSource | 51.8% | 58.6% | Kimi K2.6 leads |
| Vibe Code BenchSource | 4.06% | 37.89% | Kimi K2.6 leads |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
| LiveCodeBench v6Source | — | 89.6% | Not comparable |
| SWE MultilingualSource | — | 76.7% | Not comparable |
| SciCodeSource | — | 52.2% | Not comparable |
| Terminal-Bench 2.0Source | — | 66.7% | Not comparable |
| cursorBench31Source | — | 47.6% | Not comparable |
| AA Coding IndexSource | — | 61.8% | Not comparable |
| Terminal-Bench HardSource | — | 43.9% | Not comparable |
| AA-SciCodeSource | — | 53.5% | Not comparable |
| AA Terminal-Bench 2.1Source | — | 65.9% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Grok 4.20 | Kimi K2.6 | Result |
|---|---|---|---|
| GPQA-DSource | 88.5% | 90.5% | Kimi K2.6 leads |
| HLE w/o toolsSource | 31.6% | — | Not comparable |
| HealthBench HardSource | 20.3% | — | Not comparable |
| MedXpertQA (Text)Source | 50.2% | — | Not comparable |
| GPQASource | — | 90.5% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 44.2% | Not comparable |
| AA-GPQA DiamondSource | — | 91.1% | Not comparable |
| AA-HLESource | — | 35.9% | Not comparable |
| AA-Omniscience IndexSource | — | 6.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 32.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 39.3% | Not comparable |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math5 benchmarks
MultimodalKimi K2.6 wins11 benchmarks
| Benchmark | Grok 4.20 | Kimi K2.6 | Result |
|---|---|---|---|
| MMMU-ProSource | 75.2% | 79.4% | Kimi K2.6 leads |
| CharXivSource | 60.9% | 80.4% | Kimi K2.6 leads |
| ERQASource | 54.1% | — | Not comparable |
| SimpleVQASource | 57.4% | — | Not comparable |
| MedXpertQA (MM)Source | 65.8% | — | Not comparable |
| GDPval-AASource | 1055 | — | Not comparable |
| Design Arena WebsiteSource | 1271 | 1318 | Kimi K2.6 leads |
| MMMU-Pro w/ PythonSource | — | 80.1% | Not comparable |
| MathVisionSource | — | 87.4% | Not comparable |
| V*Source | — | 96.9% | Not comparable |
| AA-MMMU-ProSource | — | 79.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Grok 4.20 | Kimi K2.6 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 76.0% | Not comparable |
Frequently Asked Questions (4)
Which is better, Grok 4.20 or Kimi K2.6?
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 74 to 68. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 47.1% and 66.7%.
Which is better for coding, Grok 4.20 or Kimi K2.6?
Kimi K2.6 has the edge for coding in this comparison, averaging 72.6 versus 61.1. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Grok 4.20 or Kimi K2.6?
Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 47.1. Inside this category, DeepSearchQA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Grok 4.20 or Kimi K2.6?
Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 70.1. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Related Comparisons
Explore More
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.