Model comparison
GLM-4.6V vs Grok 3
GLM-4.6V is the stronger model overall, scoring 41.3 to 39.9 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. GLM-4.6V scores higher in 3 categories and Grok 3 in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-4.6V leads 27.6 to 13.7.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | Grok 3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 41.3 | 39.9 |
| Released | 2025-12-08 | 2025-04-09 |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 33K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 12 | 40 |
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Category by category
Coding Grok 3 leads
GLM-4.6V: 40.9 (#128), Grok 3: 41.9 (#115)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Coding | 1390 | 1432 |
| Aider Polyglot | — | 53.3% |
| WeirdML | — | 37.2% |
Agentic & Tool Use Not comparable
GLM-4.6V: —, Grok 3: 30.5 (#76)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| BALROG | — | 29.5% |
Reasoning GLM-4.6V leads
GLM-4.6V: 27.6 (#115), Grok 3: 13.7 (#333)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1434 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 5.5% |
| Epoch Capabilities Index | — | 138.33 |
Math Not comparable
GLM-4.6V: —, Grok 3: 38.0 (#145)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 55.6% |
| Omni-MATH | — | 46.4% |
| LMArena Math | — | 1391 |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Grok 3 leads
GLM-4.6V: 38.0 (#149), Grok 3: 46.2 (#82)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Expert | 1371 | 1421 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Grok 3: —
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Grok 3 leads
GLM-4.6V: 48.6 (#141), Grok 3: 52.3 (#87)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Non-English | 1359 | 1410 |
| LMArena Chinese | 1425 | 1448 |
| LMArena Russian | 1340 | 1416 |
| LMArena French | — | 1460 |
| LMArena German | — | 1431 |
| LMArena Japanese | — | 1387 |
| LMArena Korean | — | 1373 |
| LMArena Spanish | — | 1417 |
Instruction Following Grok 3 leads
GLM-4.6V: 71.4 (#151), Grok 3: 75.0 (#73)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1409 |
| IFEval | — | 88.4% |
Long Context GLM-4.6V leads
GLM-4.6V: 41.3 (#143), Grok 3: 38.7 (#192)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Longer Query | 1358 | 1439 |
| Fiction.LiveBench | — | 58.3% |
Writing & Preference Too close to call
GLM-4.6V: 56.6 (#137), Grok 3: 55.8 (#141)
| Benchmark | GLM-4.6V | Grok 3 |
|---|---|---|
| LMArena Text | 1377 | 1426 |
| LMArena Creative Writing | 1347 | 1414 |
| LMArena Multi-Turn | 1360 | 1425 |
| Short-Story Creative Writing | — | 76.4% |
| EQ-Bench Creative Writing | — | 1186 |
| WildBench | — | 84.9% |
Frequently asked questions
Is GLM-4.6V better than Grok 3?
GLM-4.6V is the stronger model overall, scoring 41.3 to 39.9 on the Noometry Index.
Is GLM-4.6V or Grok 3 better for coding?
Grok 3 scores higher on coding benchmarks: 41.9 versus 40.9 in the Noometry coding category.
How many benchmarks do GLM-4.6V and Grok 3 share?
11 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Grok 3 has 40.