Model comparison
GLM-4.7 vs o1-pro
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-4.7 #44 (Supported); o1-pro #148 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and o1-pro share 2 comparable benchmark results. 1 of 8 categories are comparable. 28 results are unique to GLM-4.7; 0 to o1-pro.
Updated July 24, 2026- Shared results
- 2
- GLM-4.7 only
- 28
- o1-pro only
- 0
- Comparable categories
- 1 / 8
Pick GLM-4.7 if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
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-4.7 is clearly ahead on the BenchAlign aggregate, 60.69 to 45.28. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for GLM-4.7. That is roughly Infinityx on output cost alone.
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 | o1-pro |
|---|---|---|---|
| Knowledge | GLM-4.751.8 | Margin→ 27.2 | o1-pro79.0 |
| Agentic | GLM-4.745.7 | MarginNo overlap | o1-proNot measured |
| Coding | GLM-4.775.4 | MarginNo overlap | o1-proNot measured |
| Math | GLM-4.71.8 | MarginNo overlap | o1-proNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 85.7%B 79%Winner: GLM-4.7Δ 6.7GPQA: GLM-4.7 scored 85.7%; o1-pro scored 79%. 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 | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | o1-pro$150 input / $600 output | GLM-4.7 has the lower combined listed price. |
| Generation speedtokens per second | GLM-4.782 tok/s | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.7200K | o1-pro200K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | o1-pro | 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 |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledgeo1-pro wins9 benchmarks
| Benchmark | GLM-4.7 | o1-pro | Result |
|---|---|---|---|
| GPQASource | 85.7% | 79% | GLM-4.7 leads |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 18.9% | GLM-4.7 leads |
| 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 |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | o1-pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1255 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | o1-pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-4.7 or o1-pro?
GLM-4.7 is ahead on BenchLM's BenchAlign leaderboard, 60.69 to 45.28. The biggest single separator in this matchup is GPQA, where the scores are 85.7% and 79%.
Which is better for knowledge tasks, GLM-4.7 or o1-pro?
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 51.8. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.