Model comparison
GLM-4.6 vs Qwen3.5-27B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.6 #85 (Supported); Qwen3.5-27B #45 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Qwen3.5-27B share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 17 to Qwen3.5-27B.
Updated July 23, 2026- Shared results
- 11
- GLM-4.6 only
- 3
- Qwen3.5-27B only
- 17
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.6 and Qwen3.5-27B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.5-27B has the larger context window at 262K, 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 | Qwen3.5-27B |
|---|---|---|---|
| Agentic | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-27B52.0 |
| Coding | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-27B64.9 |
| Reasoning | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-27B60.6 |
| Knowledge | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-27B82.7 |
| Math | GLM-4.63.4 | MarginNo overlap | Qwen3.5-27BNot measured |
| Multilingual | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-27B82.2 |
| Inst. Following | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-27B95.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.6 | Qwen3.5-27B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Qwen3.5-27B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Qwen3.5-27BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Qwen3.5-27BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Qwen3.5-27B262K | Qwen3.5-27B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding4 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5-27B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | 33.8% | Qwen3.5-27B leads |
| AA-GPQA DiamondSource | 63.2% | 85.8% | Qwen3.5-27B leads |
| AA-HLESource | 5.2% | 22.2% | Qwen3.5-27B leads |
| AA-Omniscience IndexSource | -31.6% | -42.0% | GLM-4.6 leads |
| AA-Omniscience AccuracySource | 20.8% | 21.0% | Qwen3.5-27B leads |
| AA-Omniscience Hallucination RateSource | 66.1% | 79.7% | GLM-4.6 leads |
| MMLU-ProSource | — | 86.1% | Not comparable |
| SuperGPQASource | — | 65.6% | Not comparable |
| GPQASource | — | 85.5% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5-27B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (3)
Can I compare GLM-4.6 and Qwen3.5-27B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GLM-4.6 and Qwen3.5-27B today?
Qwen3.5-27B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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