Model comparison
Grok 4.20 vs Kimi K2
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Grok 4.20 #93 (Estimated); Kimi K2 #199 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok 4.20 and Kimi K2 share 1 comparable benchmark result. 0 of 8 categories are comparable. 18 results are unique to Grok 4.20; 13 to Kimi K2.
Updated July 28, 2026- Shared results
- 1
- Grok 4.20 only
- 18
- Kimi K2 only
- 13
- Comparable categories
- 0 / 8
Benchmark data for Grok 4.20 and Kimi K2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Grok 4.20 is priced at $2.00 input / $6.00 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. Grok 4.20 has the larger context window at 2M, compared with 128K for Kimi K2.
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 |
|---|---|---|---|
| Agentic | Grok 4.2047.1 | MarginNo overlap | Kimi K2Not measured |
| Coding | Grok 4.2067.1 | MarginNo overlap | Kimi K2Not measured |
| Reasoning | Grok 4.2053.3 | MarginNo overlap | Kimi K2Not measured |
| Math | Grok 4.20Not measured | MarginNo overlap | Kimi K216.1 |
| Multimodal | Grok 4.2070.1 | MarginNo overlap | Kimi K2Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.20 | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.20$2 input / $6 output | Kimi K2$0.6 input / $2.5 output | Kimi K2 has the lower combined listed price. |
| Generation speedtokens per second | Grok 4.20233 tok/s | Kimi K243 tok/s | Grok 4.20 has the higher measured throughput. |
| First-answer latencyseconds to first token | Grok 4.2010.33 s | Kimi K21.51 s | Kimi K2 reaches the first token sooner. |
| Context windowmaximum listed tokens | Grok 4.202M | Kimi K2128K | Grok 4.20 lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | Grok 4.20 | Kimi K2 | Result |
|---|---|---|---|
| GPQA-DSource | 88.5% | — | Not comparable |
| HLE w/o toolsSource | 31.6% | — | Not comparable |
| HealthBench HardSource | 20.3% | — | Not comparable |
| MedXpertQA (Text)Source | 50.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 19.4% | Not comparable |
| AA-GPQA DiamondSource | — | 76.6% | Not comparable |
| AA-HLESource | — | 7.0% | Not comparable |
| AA-Omniscience IndexSource | — | -27.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 26.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 74.2% | Not comparable |
Math2 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Grok 4.20 | Kimi K2 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 41.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Grok 4.20 and Kimi K2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Grok 4.20 and Kimi K2 today?
Grok 4.20: $2.00 input / $6.00 output per 1M tokens Kimi K2: $0.60 input / $2.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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