Model comparison
GLM-4.6V vs Grok 4.20 Multi-Agent
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 41.3 on the Noometry Index. GLM-4.6V costs 3.5× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and Grok 4.20 Multi-Agent in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 27.6.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
- Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 128K.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | Z.ai (Zhipu) | xAI |
| Noometry Index | 41.3 | 46.2 |
| Released | 2025-12-08 | 2026-03-09 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 33K | 30K |
| Input $ / M tokens | $0.30 | $1.25 |
| Output $ / M tokens | $0.90 | $2.50 |
| Results tracked | 12 | 20 |
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Category by category
Coding Grok 4.20 Multi-Agent leads
GLM-4.6V: 40.9 (#128), Grok 4.20 Multi-Agent: 43.0 (#92)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Coding | 1390 | 1457 |
Agentic & Tool Use Not comparable
GLM-4.6V: —, Grok 4.20 Multi-Agent: —
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Search | — | 1204 |
Reasoning Grok 4.20 Multi-Agent leads
GLM-4.6V: 27.6 (#115), Grok 4.20 Multi-Agent: 43.9 (#48)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1448 |
| NYT Connections (extended) | — | 89.6% |
Math Not comparable
GLM-4.6V: —, Grok 4.20 Multi-Agent: 39.4 (#104)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Math | — | 1442 |
Knowledge Grok 4.20 Multi-Agent leads
GLM-4.6V: 38.0 (#149), Grok 4.20 Multi-Agent: 40.4 (#119)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Expert | 1371 | 1445 |
Multimodal Grok 4.20 Multi-Agent leads
GLM-4.6V: 34.8 (#90), Grok 4.20 Multi-Agent: 40.5 (#48)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Vision | 1164 | 1259 |
Multilingual Grok 4.20 Multi-Agent leads
GLM-4.6V: 48.6 (#141), Grok 4.20 Multi-Agent: 54.4 (#43)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Non-English | 1359 | 1440 |
| LMArena Chinese | 1425 | 1475 |
| LMArena Russian | 1340 | 1457 |
| LMArena French | — | 1466 |
| LMArena German | — | 1456 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1416 |
| LMArena Spanish | — | 1447 |
Instruction Following Grok 4.20 Multi-Agent leads
GLM-4.6V: 71.4 (#151), Grok 4.20 Multi-Agent: 74.8 (#84)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Instruction Following | 1352 | 1420 |
Long Context Grok 4.20 Multi-Agent leads
GLM-4.6V: 41.3 (#143), Grok 4.20 Multi-Agent: 43.7 (#88)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Longer Query | 1358 | 1431 |
Writing & Preference Grok 4.20 Multi-Agent leads
GLM-4.6V: 56.6 (#137), Grok 4.20 Multi-Agent: 64.0 (#59)
| Benchmark | GLM-4.6V | Grok 4.20 Multi-Agent |
|---|---|---|
| LMArena Text | 1377 | 1450 |
| LMArena Creative Writing | 1347 | 1436 |
| LMArena Multi-Turn | 1360 | 1452 |
Frequently asked questions
Is GLM-4.6V better than Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 41.3 on the Noometry Index. GLM-4.6V costs 3.5× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.
Which is cheaper, GLM-4.6V or Grok 4.20 Multi-Agent?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.
Is GLM-4.6V or Grok 4.20 Multi-Agent better for coding?
Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Grok 4.20 Multi-Agent does, with 1M tokens against 128K.
How many benchmarks do GLM-4.6V and Grok 4.20 Multi-Agent share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Grok 4.20 Multi-Agent has 20.