Model comparison
GLM-4.7 vs Grok 4
Head-to-head evidence from 14 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); Grok 4 #50 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-4.7 and Grok 4 share 14 comparable benchmark results. 1 of 8 categories are comparable. 16 results are unique to GLM-4.7; 2 to Grok 4.
Updated July 20, 2026- Shared results
- 14
- GLM-4.7 only
- 16
- Grok 4 only
- 2
- Comparable categories
- 1 / 8
Pick GLM-4.7 if you want the stronger benchmark profile. Grok 4 only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 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 has the cleaner BenchAlign overall profile here, landing at 61.16 versus 60.42. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GLM-4.7 is the reasoning model in the pair, while Grok 4 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 Grok 4.
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 | Grok 4 |
|---|---|---|---|
| Math | GLM-4.71.8 | Margin→ 13.5 | Grok 415.3 |
| Agentic | GLM-4.745.7 | MarginNo overlap | Grok 4Not measured |
| Coding | GLM-4.775.4 | MarginNo overlap | Grok 4Not measured |
| Knowledge | GLM-4.751.8 | MarginNo overlap | Grok 4Not 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 19.655%Winner: Grok 4Δ 17.2FrontierMath v2 (Tiers 1-3): GLM-4.7 scored 2.439%; Grok 4 scored 19.655%. Grok 4 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 0.000%B 2.083%Winner: Grok 4Δ 2.1FrontierMath v2 (Tier 4): GLM-4.7 scored 0.000%; Grok 4 scored 2.083%. Grok 4 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-4.7 | Grok 4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | Grok 4Not available | A complete price comparison is not available. |
| Generation speedtokens per second | GLM-4.782 tok/s | Grok 454 tok/s | GLM-4.7 has the higher measured throughput. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | Grok 415.60 s | GLM-4.7 reaches the first token sooner. |
| Context windowmaximum listed tokens | GLM-4.7200K | Grok 4128K | GLM-4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | Grok 4 | 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% | 74.9% | GLM-4.7 leads |
| Gert LabsSource | 39.95% | 42.34% | Grok 4 leads |
| GDPval-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 1165 | — | Not comparable |
Coding7 benchmarks
| Benchmark | GLM-4.7 | Grok 4 | 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% | 45.7% | Grok 4 leads |
| AA LiveCodeBenchSource | 89.4% | — | Not comparable |
| React Native EvalsSource | — | 72.6% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-4.7 | Grok 4 | Result |
|---|---|---|---|
| GPQASource | 85.7% | — | Not comparable |
| MMLU-ProSource | 84.3% | — | Not comparable |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | 33.3% | GLM-4.7 leads |
| AA-GPQA DiamondSource | 85.9% | 87.7% | Grok 4 leads |
| AA-HLESource | 25.1% | 23.9% | GLM-4.7 leads |
| AA-Omniscience IndexSource | -34.6% | 3.8% | Grok 4 leads |
| AA-Omniscience AccuracySource | 29.3% | 41.4% | Grok 4 leads |
| AA-Omniscience Hallucination RateSource | 90.3% | 64.2% | Grok 4 leads |
MathGrok 4 wins3 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | Grok 4 | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | 53.7% | GLM-4.7 leads |
Frequently Asked Questions (2)
Which is better, GLM-4.7 or Grok 4?
GLM-4.7 is ahead on BenchLM's BenchAlign leaderboard, 61.16 to 60.42. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 2.439% and 19.655%.
Which is better for math, GLM-4.7 or Grok 4?
Grok 4 has the edge for math in this comparison, averaging 15.3 versus 1.8. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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