Model comparison
GLM-4.6 vs Kimi K2
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.6 #85 (Supported); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Kimi K2 share 13 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to GLM-4.6; 1 to Kimi K2.
Updated July 23, 2026- Shared results
- 13
- GLM-4.6 only
- 1
- Kimi K2 only
- 1
- Comparable categories
- 1 / 8
Pick GLM-4.6 if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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
GLM-4.6 is clearly ahead on the BenchAlign aggregate, 55.12 to 27.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.6 is the reasoning model in the pair, while Kimi K2 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GLM-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 | GLM-4.6 | Δ | Kimi K2 |
|---|---|---|---|
| Math | GLM-4.63.4 | Margin→ 12.7 | Kimi K216.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 3.819%B 21.404%Winner: Kimi K2Δ 17.6FrontierMath v2 (Tiers 1-3): GLM-4.6 scored 3.819%; Kimi K2 scored 21.404%. Kimi K2 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.128%B 0.000%Winner: GLM-4.6Δ 2.1FrontierMath v2 (Tier 4): GLM-4.6 scored 2.128%; Kimi K2 scored 0.000%. GLM-4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.6 | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Kimi K2$0.6 input / $2.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Kimi K243 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Kimi K21.51 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Kimi K2128K | GLM-4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | GLM-4.6 | Kimi K2 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | 61.1% | GLM-4.6 leads |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GLM-4.6 | Kimi K2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | 19.4% | GLM-4.6 leads |
| AA-GPQA DiamondSource | 63.2% | 76.6% | Kimi K2 leads |
| AA-HLESource | 5.2% | 7.0% | Kimi K2 leads |
| AA-Omniscience IndexSource | -31.6% | -27.5% | Kimi K2 leads |
| AA-Omniscience AccuracySource | 20.8% | 26.8% | Kimi K2 leads |
| AA-Omniscience Hallucination RateSource | 66.1% | 74.2% | GLM-4.6 leads |
MathKimi K2 wins2 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.6 | Kimi K2 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1080 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GLM-4.6 | Kimi K2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.7% | 41.5% | Kimi K2 leads |
Frequently Asked Questions (2)
Which is better, GLM-4.6 or Kimi K2?
GLM-4.6 is ahead on BenchLM's BenchAlign leaderboard, 55.12 to 27.19. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 3.819% and 21.404%.
Which is better for math, GLM-4.6 or Kimi K2?
Kimi K2 has the edge for math in this comparison, averaging 16.1 versus 3.4. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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