Model comparison
GLM-5 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: GLM-5 #28 (Supported); Kimi K2 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5 and Kimi K2 share 14 comparable benchmark results. 1 of 8 categories are comparable. 35 results are unique to GLM-5; 0 to Kimi K2.
Updated July 20, 2026- Shared results
- 14
- GLM-5 only
- 35
- Kimi K2 only
- 0
- Comparable categories
- 1 / 8
Pick GLM-5 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
GLM-5 is clearly ahead on the BenchAlign aggregate, 66.06 to 27.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in mathematics, where it averages 56.3 against 16.1. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 16.434% to 21.404%.
GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 output per 1M tokens, versus $0.60 input / $2.50 output per 1M tokens for Kimi K2. GLM-5 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-5 | Δ | Kimi K2 |
|---|---|---|---|
| Math | GLM-556.3 | Margin← 40.2 | Kimi K216.1 |
| Agentic | GLM-556.2 | MarginNo overlap | Kimi K2Not measured |
| Coding | GLM-566.3 | MarginNo overlap | Kimi K2Not measured |
| Reasoning | GLM-560.8 | MarginNo overlap | Kimi K2Not measured |
| Knowledge | GLM-566.4 | MarginNo overlap | Kimi K2Not measured |
| Multilingual | GLM-583.1 | MarginNo overlap | Kimi K2Not measured |
| Inst. Following | GLM-592.6 | 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 16.434%B 21.404%Winner: Kimi K2Δ 5FrontierMath v2 (Tiers 1-3): GLM-5 scored 16.434%; Kimi K2 scored 21.404%. Kimi K2 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.100%B 0.000%Winner: GLM-5Δ 2.1FrontierMath v2 (Tier 4): GLM-5 scored 2.100%; Kimi K2 scored 0.000%. GLM-5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-5 | Kimi K2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5$1 input / $3.2 output | Kimi K2$0.6 input / $2.5 output | Kimi K2 has the lower combined listed price. |
| Generation speedtokens per second | GLM-574 tok/s | Kimi K243 tok/s | GLM-5 has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-51.64 s | Kimi K21.51 s | Kimi K2 reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-5200K | Kimi K2128K | GLM-5 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | GLM-5 | Kimi K2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.2% | — | Not comparable |
| Claw-EvalSource | 57.7% | — | Not comparable |
| QwenClawBenchSource | 54.1% | — | Not comparable |
| τ³-bench resultsSource | 65.6% | — | Not comparable |
| DeepPlanningSource | 14.6% | — | Not comparable |
| ToolathlonSource | 38% | — | Not comparable |
| MCP AtlasSource | 31.1% | — | Not comparable |
| MCP-TasksSource | 60.8% | — | Not comparable |
| WideResearchSource | 69.8% | — | Not comparable |
| τ²-bench resultsSource | 98.2% | 61.1% | GLM-5 leads |
| CyberGymSource | 43.2% | — | Not comparable |
| APEX-Agents-AASource | 14.5% | — | Not comparable |
| Gert LabsSource | 50.99% | — | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-5 | Kimi K2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.8% | — | Not comparable |
| SWE-bench Verified*Source | 72.8% | — | Not comparable |
| SWE-bench ProSource | 55.1% | — | Not comparable |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| SWE-RebenchSource | 62.8% | — | Not comparable |
| React Native EvalsSource | 74.8% | — | Not comparable |
| AA-SciCodeSource | 46.2% | 34.5% | GLM-5 leads |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GLM-5 | Kimi K2 | Result |
|---|---|---|---|
| GPQASource | 86% | — | Not comparable |
| GPQA-DSource | 86.0% | — | Not comparable |
| SuperGPQASource | 66.8% | — | Not comparable |
| MMLU-ProSource | 85.7% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 85.8% | — | Not comparable |
| HLESource | 50.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 39.5% | 19.4% | GLM-5 leads |
| AA-GPQA DiamondSource | 82.0% | 76.6% | GLM-5 leads |
| AA-HLESource | 27.2% | 7.0% | GLM-5 leads |
| AA-Omniscience IndexSource | 2.0% | -27.5% | GLM-5 leads |
| AA-Omniscience AccuracySource | 26.9% | 26.8% | GLM-5 leads |
| AA-Omniscience Hallucination RateSource | 34.0% | 74.2% | GLM-5 leads |
MathGLM-5 wins8 benchmarks
| Benchmark | GLM-5 | Kimi K2 | Result |
|---|---|---|---|
| AIME26Source | 95.8% | — | Not comparable |
| AIME25 (Arcee)Source | 93.3% | — | Not comparable |
| HMMT Feb 2025Source | 97.5% | — | Not comparable |
| HMMT Nov 2025Source | 96.9% | — | Not comparable |
| HMMT Feb 2026Source | 86.4% | — | Not comparable |
| MMAnswerBenchSource | 82.5% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 16.434% | 21.404% | Kimi K2 leads |
| FrontierMath v2 (Tier 4)Source | 2.100% | 0.000% | GLM-5 leads |
Multilingual2 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-5 | Kimi K2 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1280 | 1083 | GLM-5 leads |
Frequently Asked Questions (2)
Which is better, GLM-5 or Kimi K2?
GLM-5 is ahead on BenchLM's BenchAlign leaderboard, 66.06 to 27.19. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 16.434% and 21.404%.
Which is better for math, GLM-5 or Kimi K2?
GLM-5 has the edge for math in this comparison, averaging 56.3 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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