Model comparison
GLM-4.7 vs ZAYA1-74B-Preview
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.7 #42 (Supported); ZAYA1-74B-Preview unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and ZAYA1-74B-Preview share 3 comparable benchmark results. 3 of 8 categories are comparable. 27 results are unique to GLM-4.7; 4 to ZAYA1-74B-Preview.
Updated July 18, 2026- Shared results
- 3
- GLM-4.7 only
- 27
- ZAYA1-74B-Preview only
- 4
- Comparable categories
- 3 / 8
Treat this as a split decision. GLM-4.7 makes more sense if coding is the priority; ZAYA1-74B-Preview is the better fit if mathematics is the priority or you need the larger 256K context window.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GLM-4.7 and ZAYA1-74B-Preview finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
ZAYA1-74B-Preview gives you 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 | ZAYA1-74B-Preview |
|---|---|---|---|
| Math | GLM-4.71.8 | Margin→ 74.6 | ZAYA1-74B-Preview76.4 |
| Coding | GLM-4.775.4 | Margin← 22.2 | ZAYA1-74B-Preview53.2 |
| Knowledge | GLM-4.751.8 | Margin→ 14.3 | ZAYA1-74B-Preview66.1 |
| Agentic | GLM-4.745.7 | MarginNo overlap | ZAYA1-74B-PreviewNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 85.7%B 57.3%Winner: GLM-4.7Δ 28.4GPQA: GLM-4.7 scored 85.7%; ZAYA1-74B-Preview scored 57.3%. GLM-4.7 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 73.8%B 53.2%Winner: GLM-4.7Δ 20.6SWE-bench Verified: GLM-4.7 scored 73.8%; ZAYA1-74B-Preview scored 53.2%. GLM-4.7 wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 84.3%B 68.1%Winner: GLM-4.7Δ 16.2MMLU-Pro: GLM-4.7 scored 84.3%; ZAYA1-74B-Preview scored 68.1%. GLM-4.7 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | ZAYA1-74B-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | ZAYA1-74B-Preview$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GLM-4.782 tok/s | ZAYA1-74B-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | ZAYA1-74B-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.7200K | ZAYA1-74B-Preview256K | ZAYA1-74B-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | GLM-4.7 | ZAYA1-74B-Preview | 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% | — | Not comparable |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 1165 | — | Not comparable |
| τ²-bench AirlineSource | — | 56.1% | Not comparable |
CodingGLM-4.7 wins7 benchmarks
| Benchmark | GLM-4.7 | ZAYA1-74B-Preview | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.8% | 53.2% | GLM-4.7 leads |
| LiveCodeBenchSource | 84.9% | — | Not comparable |
| SWE-RebenchSource | 58.7% | — | Not comparable |
| AA Coding IndexSource | 45.3% | — | Not comparable |
| AA-SciCodeSource | 45.1% | — | Not comparable |
| AA LiveCodeBenchSource | 89.4% | — | Not comparable |
| LiveCodeBench v6Source | — | 65.7% | Not comparable |
Reasoning2 benchmarks
KnowledgeZAYA1-74B-Preview wins10 benchmarks
| Benchmark | GLM-4.7 | ZAYA1-74B-Preview | Result |
|---|---|---|---|
| GPQASource | 85.7% | 57.3% | GLM-4.7 leads |
| MMLU-ProSource | 84.3% | 68.1% | GLM-4.7 leads |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | — | Not comparable |
| AA-GPQA DiamondSource | 85.9% | — | Not comparable |
| AA-HLESource | 25.1% | — | Not comparable |
| AA-Omniscience IndexSource | -34.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 29.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 90.3% | — | Not comparable |
| GPQA-DSource | — | 57.3% | Not comparable |
MathZAYA1-74B-Preview wins4 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | ZAYA1-74B-Preview | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1258 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | ZAYA1-74B-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, GLM-4.7 or ZAYA1-74B-Preview?
GLM-4.7 and ZAYA1-74B-Preview are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, GLM-4.7 or ZAYA1-74B-Preview?
ZAYA1-74B-Preview has the edge for knowledge tasks in this comparison, averaging 66.1 versus 51.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, GLM-4.7 or ZAYA1-74B-Preview?
GLM-4.7 has the edge for coding in this comparison, averaging 75.4 versus 53.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, GLM-4.7 or ZAYA1-74B-Preview?
ZAYA1-74B-Preview has the edge for math in this comparison, averaging 76.4 versus 1.8. GLM-4.7 stays close enough that the answer can still flip depending on your workload.
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