Model comparison
Claude Sonnet 4.6 vs Kimi K2
Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Kimi K2 share 14 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Claude Sonnet 4.6; 0 to Kimi K2.
Updated July 20, 2026- Shared results
- 14
- Claude Sonnet 4.6 only
- 19
- Kimi K2 only
- 0
- Comparable categories
- 1 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 7 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Sonnet 4.6 is clearly ahead on the BenchAlign aggregate, 65.07 to 27.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in mathematics, where it averages 26.4 against 16.1. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 32.400% to 21.404%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. That is roughly 6.0x on output cost alone. Claude Sonnet 4.6 gives you the larger context window at 200K, 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 | Claude Sonnet 4.6 | Δ | Kimi K2 |
|---|---|---|---|
| Math | Claude Sonnet 4.626.4 | Margin← 10.3 | Kimi K216.1 |
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Kimi K2Not measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Kimi K2Not measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Kimi K2Not measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Kimi K2Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 32.400%B 21.404%Winner: Claude Sonnet 4.6Δ 11FrontierMath v2 (Tiers 1-3): Claude Sonnet 4.6 scored 32.400%; Kimi K2 scored 21.404%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 8.300%B 0.000%Winner: Claude Sonnet 4.6Δ 8.3FrontierMath v2 (Tier 4): Claude Sonnet 4.6 scored 8.300%; Kimi K2 scored 0.000%. Claude Sonnet 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Kimi K2$0.6 input / $2.5 output | Kimi K2 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Kimi K243 tok/s | Claude Sonnet 4.6 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Kimi K21.51 s | Claude Sonnet 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Kimi K2128K | Claude Sonnet 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Kimi K2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 61.1% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Sonnet 4.6 | Kimi K2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 34.5% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Kimi K2 | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 19.4% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 76.6% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 7.0% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -27.5% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 26.8% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 74.2% | Claude Sonnet 4.6 leads |
MathClaude Sonnet 4.6 wins2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Kimi K2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 41.5% | Kimi K2 leads |
Frequently Asked Questions (2)
Which is better, Claude Sonnet 4.6 or Kimi K2?
Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 27.19. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 32.400% and 21.404%.
Which is better for math, Claude Sonnet 4.6 or Kimi K2?
Claude Sonnet 4.6 has the edge for math in this comparison, averaging 26.4 versus 16.1. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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