Model comparison
GLM-4.6 vs Qwen3 235B 2507 (Reasoning)
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 235B 2507 (Reasoning) #66 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.6 and Qwen3 235B 2507 (Reasoning) share 2 comparable benchmark results. 1 of 8 categories are comparable. 12 results are unique to GLM-4.6; 0 to Qwen3 235B 2507 (Reasoning).
Updated July 23, 2026- Shared results
- 2
- GLM-4.6 only
- 12
- Qwen3 235B 2507 (Reasoning) only
- 0
- Comparable categories
- 1 / 8
Pick Qwen3 235B 2507 (Reasoning) if you want the stronger benchmark profile. GLM-4.6 only becomes the better choice if you need the larger 200K 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
Qwen3 235B 2507 (Reasoning) has the cleaner BenchAlign overall profile here, landing at 58.01 versus 55.12. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3 235B 2507 (Reasoning)'s sharpest advantage is in mathematics, where it averages 6.4 against 3.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 3.819% to 8.481%.
GLM-4.6 gives you the larger context window at 200K, compared with 128K for Qwen3 235B 2507 (Reasoning).
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 235B 2507 (Reasoning) |
|---|---|---|---|
| Math | GLM-4.63.4 | Margin→ 3.0 | Qwen3 235B 2507 (Reasoning)6.4 |
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 8.481%Winner: Qwen3 235B 2507 (Reasoning)Δ 4.7FrontierMath v2 (Tiers 1-3): GLM-4.6 scored 3.819%; Qwen3 235B 2507 (Reasoning) scored 8.481%. Qwen3 235B 2507 (Reasoning) 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 235B 2507 (Reasoning) 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 235B 2507 (Reasoning) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.6Not available | Qwen3 235B 2507 (Reasoning)$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.6Not available | Qwen3 235B 2507 (Reasoning)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.6Not available | Qwen3 235B 2507 (Reasoning)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.6200K | Qwen3 235B 2507 (Reasoning)128K | GLM-4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | GLM-4.6 | Qwen3 235B 2507 (Reasoning) | Result |
|---|---|---|---|
| τ²-bench resultsSource | 76.9% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GLM-4.6 | Qwen3 235B 2507 (Reasoning) | 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 235B 2507 (Reasoning) wins2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-4.6 | Qwen3 235B 2507 (Reasoning) | Result |
|---|---|---|---|
| AA-IFBenchSource | 36.7% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-4.6 or Qwen3 235B 2507 (Reasoning)?
Qwen3 235B 2507 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 58.01 to 55.12. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 3.819% and 8.481%.
Which is better for math, GLM-4.6 or Qwen3 235B 2507 (Reasoning)?
Qwen3 235B 2507 (Reasoning) has the edge for math in this comparison, averaging 6.4 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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