Model comparison
GLM-4.6 vs GLM-5
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); GLM-5 #28 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and GLM-5 share 13 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to GLM-4.6; 36 to GLM-5.
Updated July 23, 2026- Shared results
- 13
- GLM-4.6 only
- 1
- GLM-5 only
- 36
- Comparable categories
- 1 / 8
Pick GLM-5 if you want the stronger benchmark profile. GLM-4.6 only becomes the better choice if you want the stronger reasoning-first profile.
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-5 is clearly ahead on the BenchAlign aggregate, 66.06 to 55.12. 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 3.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 3.819% to 16.434%.
GLM-4.6 is the reasoning model in the pair, while GLM-5 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.
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 | GLM-5 |
|---|---|---|---|
| Math | GLM-4.63.4 | Margin→ 52.9 | GLM-556.3 |
| Agentic | GLM-4.6Not measured | MarginNo overlap | GLM-556.2 |
| Coding | GLM-4.6Not measured | MarginNo overlap | GLM-566.3 |
| Reasoning | GLM-4.6Not measured | MarginNo overlap | GLM-560.8 |
| Knowledge | GLM-4.6Not measured | MarginNo overlap | GLM-566.4 |
| Multilingual | GLM-4.6Not measured | MarginNo overlap | GLM-583.1 |
| Inst. Following | GLM-4.6Not measured | MarginNo overlap | GLM-592.6 |
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 16.434%Winner: GLM-5Δ 12.6FrontierMath v2 (Tiers 1-3): GLM-4.6 scored 3.819%; GLM-5 scored 16.434%. GLM-5 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.128%B 2.100%Winner: GLM-4.6Δ 0FrontierMath v2 (Tier 4): GLM-4.6 scored 2.128%; GLM-5 scored 2.100%. 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 | GLM-5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | GLM-5$1 input / $3.2 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | GLM-574 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | GLM-51.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | GLM-5200K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | GLM-4.6 | GLM-5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | 98.2% | GLM-5 leads |
| 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 |
| CyberGymSource | — | 43.2% | Not comparable |
| APEX-Agents-AASource | — | 14.5% | Not comparable |
| Gert LabsSource | — | 50.99% | Not comparable |
Coding8 benchmarks
| Benchmark | GLM-4.6 | GLM-5 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 3.09% | — | Not comparable |
| AA-SciCodeSource | 33.1% | 46.2% | GLM-5 leads |
| 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 |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GLM-4.6 | GLM-5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | 39.5% | GLM-5 leads |
| AA-GPQA DiamondSource | 63.2% | 82.0% | GLM-5 leads |
| AA-HLESource | 5.2% | 27.2% | GLM-5 leads |
| AA-Omniscience IndexSource | -31.6% | 2.0% | GLM-5 leads |
| AA-Omniscience AccuracySource | 20.8% | 26.9% | GLM-5 leads |
| AA-Omniscience Hallucination RateSource | 66.1% | 34.0% | GLM-5 leads |
| 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 |
MathGLM-5 wins8 benchmarks
| Benchmark | GLM-4.6 | GLM-5 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 3.819% | 16.434% | GLM-5 leads |
| FrontierMath v2 (Tier 4)Source | 2.128% | 2.100% | GLM-4.6 leads |
| 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 |
Multilingual2 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.6 | GLM-5 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1278 | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-4.6 or GLM-5?
GLM-5 is ahead on BenchLM's BenchAlign leaderboard, 66.06 to 55.12. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 3.819% and 16.434%.
Which is better for math, GLM-4.6 or GLM-5?
GLM-5 has the edge for math in this comparison, averaging 56.3 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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