Model comparison
GLM-4.7 vs Qwen3 Max
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.7 #42 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and Qwen3 Max share 13 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to GLM-4.7; 1 to Qwen3 Max.
Updated July 23, 2026- Shared results
- 13
- GLM-4.7 only
- 17
- Qwen3 Max only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.7 and Qwen3 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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 Max has the larger context window at 1M, compared with 200K for GLM-4.7.
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-4.7 | Δ | Qwen3 Max |
|---|---|---|---|
| Agentic | GLM-4.745.7 | MarginNo overlap | Qwen3 MaxNot measured |
| Coding | GLM-4.775.4 | MarginNo overlap | Qwen3 MaxNot measured |
| Knowledge | GLM-4.751.8 | MarginNo overlap | Qwen3 MaxNot measured |
| Math | GLM-4.71.8 | MarginNo overlap | Qwen3 MaxNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | Qwen3 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | Qwen3 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.782 tok/s | Qwen3 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | Qwen3 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.7200K | Qwen3 Max1M | Qwen3 Max lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | Qwen3 Max | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41% | — | Not comparable |
| BrowseCompSource | 52% | — | Not comparable |
| VITA-BenchSource | 15.5% | — | Not comparable |
| AA Agentic IndexSource | 25.4% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | 74.3% | GLM-4.7 leads |
| Gert LabsSource | 39.95% | 43.74% | Qwen3 Max leads |
| GDPval-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 1165 | — | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-4.7 | Qwen3 Max | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.8% | — | Not comparable |
| LiveCodeBenchSource | 84.9% | — | Not comparable |
| SWE-RebenchSource | 58.7% | — | Not comparable |
| AA Coding IndexSource | 45.3% | — | Not comparable |
| AA-SciCodeSource | 45.1% | 38.3% | GLM-4.7 leads |
| AA LiveCodeBenchSource | 89.4% | — | Not comparable |
| Vibe Code BenchSource | — | 3.51% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.7 | Qwen3 Max | Result |
|---|---|---|---|
| GPQASource | 85.7% | — | Not comparable |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 24.0% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 85.9% | 76.4% | GLM-4.7 leads |
| AA-HLESource | 25.1% | 11.1% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -34.6% | -43.1% | GLM-4.7 leads |
| AA-Omniscience AccuracySource | 29.3% | 24.4% | GLM-4.7 leads |
| AA-Omniscience Hallucination RateSource | 90.3% | 89.4% | Qwen3 Max leads |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | Qwen3 Max | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1255 | 1148 | GLM-4.7 leads |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | Qwen3 Max | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | 44.1% | GLM-4.7 leads |
Frequently Asked Questions (3)
Can I compare GLM-4.7 and Qwen3 Max 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-4.7 and Qwen3 Max today?
GLM-4.7: $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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