Model comparison
GLM-4.6 vs Qwen3.5 Flash
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.6 #85 (Supported); Qwen3.5 Flash #134 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Qwen3.5 Flash share 2 comparable benchmark results. 1 of 8 categories are comparable. 12 results are unique to GLM-4.6; 0 to Qwen3.5 Flash.
Updated July 23, 2026- Shared results
- 2
- GLM-4.6 only
- 12
- Qwen3.5 Flash only
- 0
- Comparable categories
- 1 / 8
Pick GLM-4.6 if you want the stronger benchmark profile. Qwen3.5 Flash only becomes the better choice if mathematics is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 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-4.6 is clearly ahead on the BenchAlign aggregate, 55.12 to 47.65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 Flash 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 | Qwen3.5 Flash |
|---|---|---|---|
| Math | GLM-4.63.4 | Margin→ 1.3 | Qwen3.5 Flash4.7 |
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 6.207%Winner: Qwen3.5 FlashΔ 2.4FrontierMath v2 (Tiers 1-3): GLM-4.6 scored 3.819%; Qwen3.5 Flash scored 6.207%. Qwen3.5 Flash wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 2.128%B 0.000%Winner: GLM-4.6Δ 2.1FrontierMath v2 (Tier 4): GLM-4.6 scored 2.128%; Qwen3.5 Flash scored 0.000%. 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 | Qwen3.5 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Qwen3.5 Flash$0.1 input / $0.4 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Qwen3.5 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Qwen3.5 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Qwen3.5 Flash1M | Qwen3.5 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 23.0% | — | Not comparable |
| AA-GPQA DiamondSource | 63.2% | — | Not comparable |
| AA-HLESource | 5.2% | — | Not comparable |
| AA-Omniscience IndexSource | -31.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 20.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 66.1% | — | Not comparable |
MathQwen3.5 Flash wins2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-4.6 | Qwen3.5 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.7% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-4.6 or Qwen3.5 Flash?
GLM-4.6 is ahead on BenchLM's BenchAlign leaderboard, 55.12 to 47.65. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 3.819% and 6.207%.
Which is better for math, GLM-4.6 or Qwen3.5 Flash?
Qwen3.5 Flash has the edge for math in this comparison, averaging 4.7 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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