Model comparison
GLM-4.6 vs Qwen3.6 Plus
Head-to-head evidence from 14 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); Qwen3.6 Plus #30 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Qwen3.6 Plus share 14 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to GLM-4.6; 46 to Qwen3.6 Plus.
Updated July 23, 2026- Shared results
- 14
- GLM-4.6 only
- 0
- Qwen3.6 Plus only
- 46
- Comparable categories
- 1 / 8
Pick Qwen3.6 Plus if you want the stronger benchmark profile. GLM-4.6 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 14 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
Qwen3.6 Plus is clearly ahead on the BenchAlign aggregate, 65.2 to 55.12. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6 Plus's sharpest advantage is in mathematics, where it averages 60.5 against 3.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 3.819% to 26.207%.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 200K for GLM-4.6.
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 | Qwen3.6 Plus |
|---|---|---|---|
| Math | GLM-4.63.4 | Margin→ 57.1 | Qwen3.6 Plus60.5 |
| Agentic | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus61.6 |
| Coding | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus70.3 |
| Reasoning | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus62.0 |
| Knowledge | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus57.1 |
| Multilingual | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus84.7 |
| Multimodal | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus79.8 |
| Inst. Following | GLM-4.6Not measured | MarginNo overlap | Qwen3.6 Plus82.3 |
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 26.207%Winner: Qwen3.6 PlusΔ 22.4FrontierMath v2 (Tiers 1-3): GLM-4.6 scored 3.819%; Qwen3.6 Plus scored 26.207%. Qwen3.6 Plus wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.128%B 8.333%Winner: Qwen3.6 PlusΔ 6.2FrontierMath v2 (Tier 4): GLM-4.6 scored 2.128%; Qwen3.6 Plus scored 8.333%. Qwen3.6 Plus wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.6 | Qwen3.6 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Qwen3.6 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Qwen3.6 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Qwen3.6 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Qwen3.6 Plus1M | Qwen3.6 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | GLM-4.6 | Qwen3.6 Plus | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | 97.7% | Qwen3.6 Plus leads |
| Terminal-Bench 2.0Source | — | 61.6% | Not comparable |
| Claw-EvalSource | — | 58.8% | Not comparable |
| QwenClawBenchSource | — | 57.2% | Not comparable |
| τ³-bench resultsSource | — | 70.7% | Not comparable |
| VITA-BenchSource | — | 44.3% | Not comparable |
| DeepPlanningSource | — | 41.5% | Not comparable |
| ToolathlonSource | — | 39.8% | Not comparable |
| MCP AtlasSource | — | 48.2% | Not comparable |
| MCP-TasksSource | — | 74.1% | Not comparable |
| WideResearchSource | — | 74.3% | Not comparable |
| AA Agentic IndexSource | — | 27.6% | Not comparable |
| GDPval-AASource | — | 31.8% | Not comparable |
| GDPval-AASource | — | 1135 | Not comparable |
| Gert LabsSource | — | 50.60% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-4.6 | Qwen3.6 Plus | Result |
|---|---|---|---|
| Vibe Code BenchSource | 3.09% | 25.56% | Qwen3.6 Plus leads |
| AA-SciCodeSource | 33.1% | 40.7% | Qwen3.6 Plus leads |
| SWE-bench VerifiedSource | — | 78.8% | Not comparable |
| SWE-bench ProSource | — | 56.6% | Not comparable |
| SWE MultilingualSource | — | 73.8% | Not comparable |
| LiveCodeBench v6Source | — | 87.1% | Not comparable |
| AA Coding IndexSource | — | 54.5% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | GLM-4.6 | Qwen3.6 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | 39.6% | Qwen3.6 Plus leads |
| AA-GPQA DiamondSource | 63.2% | 88.2% | Qwen3.6 Plus leads |
| AA-HLESource | 5.2% | 25.7% | Qwen3.6 Plus leads |
| AA-Omniscience IndexSource | -31.6% | 2.7% | Qwen3.6 Plus leads |
| AA-Omniscience AccuracySource | 20.8% | 26.2% | Qwen3.6 Plus leads |
| AA-Omniscience Hallucination RateSource | 66.1% | 32.0% | Qwen3.6 Plus leads |
| GPQASource | — | 90.4% | Not comparable |
| SuperGPQASource | — | 71.6% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| C-EvalSource | — | 93.3% | Not comparable |
| HLESource | — | 28.8% | Not comparable |
MathQwen3.6 Plus wins7 benchmarks
| Benchmark | GLM-4.6 | Qwen3.6 Plus | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 3.819% | 26.207% | Qwen3.6 Plus leads |
| FrontierMath v2 (Tier 4)Source | 2.128% | 8.333% | Qwen3.6 Plus leads |
| AIME26Source | — | 95.3% | Not comparable |
| HMMT Feb 2025Source | — | 96.7% | Not comparable |
| HMMT Nov 2025Source | — | 94.6% | Not comparable |
| HMMT Feb 2026Source | — | 87.8% | Not comparable |
| MMAnswerBenchSource | — | 83.8% | Not comparable |
Multilingual2 benchmarks
Multimodal9 benchmarks
| Benchmark | GLM-4.6 | Qwen3.6 Plus | Result |
|---|---|---|---|
| MMMUSource | — | 86.0% | Not comparable |
| MMMU-ProSource | — | 78.8% | Not comparable |
| MathVisionSource | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 84.0% | Not comparable |
| ScreenSpot ProSource | — | 68.2% | Not comparable |
| CharXivSource | — | 81.5% | Not comparable |
| V*Source | — | 96.9% | Not comparable |
| AA-MMMU-ProSource | — | 78.0% | Not comparable |
| Design Arena WebsiteSource | — | 1249 | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-4.6 or Qwen3.6 Plus?
Qwen3.6 Plus is ahead on BenchLM's BenchAlign leaderboard, 65.2 to 55.12. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 3.819% and 26.207%.
Which is better for math, GLM-4.6 or Qwen3.6 Plus?
Qwen3.6 Plus has the edge for math in this comparison, averaging 60.5 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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