Model comparison
GLM-4.7 vs Hy3
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.7 #42 (Supported); Hy3 #80 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and Hy3 share 14 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to GLM-4.7; 0 to Hy3.
Updated July 23, 2026- Shared results
- 14
- GLM-4.7 only
- 16
- Hy3 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GLM-4.7 and Hy3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 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.
Hy3 has the larger context window at 256K, 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 | Hy3 |
|---|---|---|---|
| Agentic | GLM-4.745.7 | MarginNo overlap | Hy3Not measured |
| Coding | GLM-4.775.4 | MarginNo overlap | Hy3Not measured |
| Knowledge | GLM-4.751.8 | MarginNo overlap | Hy3Not measured |
| Math | GLM-4.71.8 | MarginNo overlap | Hy3Not measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | Hy3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | Hy3$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GLM-4.782 tok/s | Hy3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | Hy3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.7200K | Hy3256K | Hy3 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | Hy3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41% | — | Not comparable |
| BrowseCompSource | 52% | — | Not comparable |
| VITA-BenchSource | 15.5% | — | Not comparable |
| AA Agentic IndexSource | 25.4% | 30.7% | Hy3 leads |
| τ²-bench resultsSource | 95.9% | — | Not comparable |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | 35.7% | Hy3 leads |
| GDPval-AASource | 1165 | 1214 | Hy3 leads |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.7 | Hy3 | Result |
|---|---|---|---|
| GPQASource | 85.7% | — | Not comparable |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 41.2% | Hy3 leads |
| AA-GPQA DiamondSource | 85.9% | 89.7% | Hy3 leads |
| AA-HLESource | 25.1% | 31.6% | Hy3 leads |
| AA-Omniscience IndexSource | -34.6% | -18.5% | Hy3 leads |
| AA-Omniscience AccuracySource | 29.3% | 31.5% | Hy3 leads |
| AA-Omniscience Hallucination RateSource | 90.3% | 73.0% | Hy3 leads |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | Hy3 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1255 | 1229 | GLM-4.7 leads |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | Hy3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GLM-4.7 and Hy3 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 Hy3 today?
GLM-4.7: $0.00 input / $0.00 output per 1M tokens Hy3: $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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