Model comparison
GLM-4.7 vs GPT-4o
Head-to-head evidence from 13 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-4.7 #42 (Supported); GPT-4o #165 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and GPT-4o share 13 comparable benchmark results. 1 of 8 categories are comparable. 17 results are unique to GLM-4.7; 0 to GPT-4o.
Updated July 20, 2026- Shared results
- 13
- GLM-4.7 only
- 17
- GPT-4o only
- 0
- Comparable categories
- 1 / 8
Pick GLM-4.7 if you want the stronger benchmark profile. GPT-4o only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 7 evidence categories; 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, 61.16 to 41.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in mathematics, where it averages 1.8 against 0.3. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 2.439% to 0.345%.
GPT-4o is also the more expensive model on tokens at $2.50 input / $10.00 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. GLM-4.7 is the reasoning model in the pair, while GPT-4o is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GLM-4.7 gives you the larger context window at 200K, compared with 128K for GPT-4o.
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 | GPT-4o |
|---|---|---|---|
| Math | GLM-4.71.8 | Margin← 1.5 | GPT-4o0.3 |
| Agentic | GLM-4.745.7 | MarginNo overlap | GPT-4oNot measured |
| Coding | GLM-4.775.4 | MarginNo overlap | GPT-4oNot measured |
| Knowledge | GLM-4.751.8 | MarginNo overlap | GPT-4oNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 2.439%B 0.345%Winner: GLM-4.7Δ 2.1FrontierMath v2 (Tiers 1-3): GLM-4.7 scored 2.439%; GPT-4o scored 0.345%. 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 | GPT-4o | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | GPT-4o$2.5 input / $10 output | GLM-4.7 has the lower combined listed price. |
| Generation speedtokens per second | GLM-4.782 tok/s | GPT-4o131 tok/s | GPT-4o has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | GPT-4o0.81 s | GPT-4o reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-4.7200K | GPT-4o128K | GLM-4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | GPT-4o | 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% | 25.1% | GLM-4.7 leads |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 1165 | — | Not comparable |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.7 | GPT-4o | Result |
|---|---|---|---|
| GPQASource | 85.7% | — | Not comparable |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 11.2% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 85.9% | 54.3% | GLM-4.7 leads |
| AA-HLESource | 25.1% | 3.3% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -34.6% | -10.7% | GPT-4o leads |
| AA-Omniscience AccuracySource | 29.3% | 19.7% | GLM-4.7 leads |
| AA-Omniscience Hallucination RateSource | 90.3% | 37.9% | GPT-4o leads |
MathGLM-4.7 wins3 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | GPT-4o | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1258 | 864 | GLM-4.7 leads |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | GPT-4o | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | 34.3% | GLM-4.7 leads |
Frequently Asked Questions (2)
Which is better, GLM-4.7 or GPT-4o?
GLM-4.7 is ahead on BenchLM's BenchAlign leaderboard, 61.16 to 41.49. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 2.439% and 0.345%.
Which is better for math, GLM-4.7 or GPT-4o?
GLM-4.7 has the edge for math in this comparison, averaging 1.8 versus 0.3. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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