Model comparison
GLM-4.6 vs Qwen3.5-122B-A10B
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); Qwen3.5-122B-A10B #47 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Qwen3.5-122B-A10B share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GLM-4.6; 20 to Qwen3.5-122B-A10B.
Updated July 23, 2026- Shared results
- 11
- GLM-4.6 only
- 3
- Qwen3.5-122B-A10B only
- 20
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.6 and Qwen3.5-122B-A10B 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.
Qwen3.5-122B-A10B 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 | Qwen3.5-122B-A10B |
|---|---|---|---|
| Agentic | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B56.4 |
| Coding | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B72.0 |
| Reasoning | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B60.2 |
| Knowledge | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B83.6 |
| Math | GLM-4.63.4 | MarginNo overlap | Qwen3.5-122B-A10BNot measured |
| Multilingual | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B82.2 |
| Multimodal | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B77.2 |
| Inst. Following | GLM-4.6Not measured | MarginNo overlap | Qwen3.5-122B-A10B93.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.6 | Qwen3.5-122B-A10B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Qwen3.5-122B-A10B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Qwen3.5-122B-A10BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Qwen3.5-122B-A10BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Qwen3.5-122B-A10B262K | Qwen3.5-122B-A10B lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | 93.6% | Qwen3.5-122B-A10B leads |
| Terminal-Bench 2.0Source | — | 49.4% | Not comparable |
| BrowseCompSource | — | 63.8% | Not comparable |
| OSWorld-VerifiedSource | — | 58% | Not comparable |
| AA Agentic IndexSource | — | 20.7% | Not comparable |
| GDPval-AASource | — | 23.9% | Not comparable |
| GDPval-AASource | — | 978 | Not comparable |
Coding4 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | 32.3% | Qwen3.5-122B-A10B leads |
| AA-GPQA DiamondSource | 63.2% | 85.7% | Qwen3.5-122B-A10B leads |
| AA-HLESource | 5.2% | 23.4% | Qwen3.5-122B-A10B leads |
| AA-Omniscience IndexSource | -31.6% | -39.6% | GLM-4.6 leads |
| AA-Omniscience AccuracySource | 20.8% | 24.7% | Qwen3.5-122B-A10B leads |
| AA-Omniscience Hallucination RateSource | 66.1% | 85.5% | GLM-4.6 leads |
| MMLU-ProSource | — | 86.7% | Not comparable |
| SuperGPQASource | — | 67.1% | Not comparable |
| GPQASource | — | 86.6% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
Multimodal6 benchmarks
Frequently Asked Questions (3)
Can I compare GLM-4.6 and Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B today?
Qwen3.5-122B-A10B: $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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