Model comparison
GLM-4.7 vs Grok 4.7
Grok 4.7 is the stronger model overall, scoring 46.6 to 41.7 on the Noometry Index. GLM-4.7 costs 3.0× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-4.7 scores higher in 3 categories and Grok 4.7 in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.7 leads 40.1 to 23.7.
- The biggest single-benchmark swing is ProofBench: 6% for GLM-4.7 and 34% for Grok 4.7.
- GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $2 / $6 for Grok 4.7.
- Grok 4.7 accepts more context: 500K tokens versus 205K.
- GLM-4.7 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7 | Grok 4.7 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 41.7 | 46.6 |
| Released | 2025-12-22 | 2026-09-21 |
| Weights | Open | Proprietary |
| Context window | 205K | 500K |
| Max output | 131K | 500K |
| Input $ / M tokens | $0.60 | $2 |
| Output $ / M tokens | $2.20 | $6 |
| Results tracked | 36 | 21 |
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Category by category
Coding Grok 4.7 leads
GLM-4.7: 43.6 (#74), Grok 4.7: 55.0 (#23)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| LMArena WebDev | 1435 | 1636 |
| SciCode | 45.1% | 57.4% |
| LMArena Coding | 1454 | 1423 |
| CursorBench | — | 46.3% |
| FrontierSWE | — | 29.5% |
| ALE-Bench | 399.48 | — |
Agentic & Tool Use Not comparable
GLM-4.7: 26.4 (#96), Grok 4.7: —
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| Terminal-Bench | 33.4% | — |
| Vending-Bench 2 | 2,377 | — |
Reasoning Grok 4.7 leads
GLM-4.7: 23.7 (#161), Grok 4.7: 40.1 (#49)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| CritPt | 1.7% | 17.7% |
| LMArena Hard Prompts | 1443 | 1409 |
| SimpleBench | 47.7% | — |
| NYT Connections (extended) | — | 76.8% |
| Chess Puzzles | 6% | — |
| Epoch Capabilities Index | 143.53 | — |
Math Grok 4.7 leads
GLM-4.7: 37.7 (#92), Grok 4.7: 41.1 (#73)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| ProofBench | 6% | 34% |
| LMArena Math | 1423 | 1393 |
| OTIS Mock AIME 2024-2025 | 83.3% | — |
| FrontierMath (Feb 2025 set) | 2.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GLM-4.7 leads
GLM-4.7: 47.0 (#74), Grok 4.7: 38.7 (#130)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| LMArena Expert | 1424 | 1413 |
| GPQA Diamond | 83.3% | — |
| SimpleQA Verified | 32.2% | — |
| Vectara Hallucination Rate | 11.7% | — |
Multimodal Not comparable
GLM-4.7: —, Grok 4.7: 28.8 (#107)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| Furniture Assembly | — | 20.8% |
Multilingual GLM-4.7 leads
GLM-4.7: 53.0 (#75), Grok 4.7: 51.2 (#108)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1417 | 1392 |
| LMArena Chinese | 1495 | 1476 |
| LMArena Russian | 1423 | 1396 |
| LMArena French | 1432 | — |
| LMArena German | 1426 | — |
| LMArena Japanese | 1439 | — |
| LMArena Korean | 1401 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Too close to call
GLM-4.7: 74.6 (#90), Grok 4.7: 74.3 (#98)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1411 | 1406 |
Long Context Too close to call
GLM-4.7: 42.8 (#111), Grok 4.7: 43.2 (#97)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1432 | 1416 |
| CL-bench | 15.9% | — |
| CL-bench Life | 10.9% | — |
Writing & Preference Grok 4.7 leads
GLM-4.7: 61.1 (#89), Grok 4.7: 70.1 (#23)
| Benchmark | GLM-4.7 | Grok 4.7 |
|---|---|---|
| LMArena Text | 1436 | 1397 |
| LMArena Creative Writing | 1401 | 1391 |
| EQ-Bench Creative Writing | 1413 | 2007 |
| LMArena Multi-Turn | 1446 | 1389 |
Frequently asked questions
Is GLM-4.7 better than Grok 4.7?
Grok 4.7 is the stronger model overall, scoring 46.6 to 41.7 on the Noometry Index. GLM-4.7 costs 3.0× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.
Which is cheaper, GLM-4.7 or Grok 4.7?
GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Grok 4.7 lists at $2 and $6.
Is GLM-4.7 or Grok 4.7 better for coding?
Grok 4.7 scores higher on coding benchmarks: 55.0 versus 43.6 in the Noometry coding category.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 205K.
How many benchmarks do GLM-4.7 and Grok 4.7 share?
17 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Grok 4.7 has 21.