Command A vs GLM-5.3
Benchmark Performance
Available Benchmarks
| Benchmark | Command A | GLM-5.3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,330.7990% of row best · rating · command-a-03-2025; 95% CI [1327.33626503, 1334.25009199]; votes 55434; rank 208 | 1,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 1 benchmark winOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Command A | GLM-5.3 |
|---|---|---|
| Developer | Cohere | Z.ai |
| Family | Command A | Glm 5 3 |
| Model | Command A | GLM-5.3 |
| Version | Command A | GLM-5.3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 256,000 | 1,000,000 |
| Total parameters | 111,000,000,000 | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Cohere (Standard) | Deepinfra (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, citations, multilingual, rag, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools |
13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
Command A Capabilities
GLM-5.3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
 Hy4 previewTencent | vs |  GLM-5.3Z.ai | cross-developer peerstext |
 Qwen3.7-PlusQwen | vs | GLM-5.3Z.ai | cross-developer peerstext |
GLM-5.3Z.ai | vs | GLM-5.3-FlashZ.ai | family variantstext |
GLM-5.2Z.ai | vs | GLM-5.3Z.ai | family variantstext |
GLM-5Z.ai | vs | GLM-5.3Z.ai | family variantstext |
GLM-5.1Z.ai | vs | GLM-5.3Z.ai | family variantstext |
 Command ACohere | vs | Command A VisionCohere | family variantstext |
 ERNIE 5.1Baidu | vs | GLM-5.3Z.ai | cross-developer peerstext |
ERNIE X1.1Baidu | vs | GLM-5.3Z.ai | cross-developer peerstext |
| vs | Command ACohere | family variantstext | |
ERNIE 5.1Baidu | vs | Command ACohere | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Command ACohere | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Command A vs GLM-5.3 FAQs
Is Command A or GLM-5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A and GLM-5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A or GLM-5.3?+
Command A is $2.50 and GLM-5.3 is $1.20 per million tokens, so GLM-5.3 is cheaper on this metric. Command A is $10.00 and GLM-5.3 is $4.00 per million tokens, so GLM-5.3 is cheaper on this metric.
Which has a larger context window, Command A or GLM-5.3?+
GLM-5.3 has the larger sourced context window. Command A supports 256,000 and GLM-5.3 supports 1,000,000.
Which performs better in benchmarks, Command A or GLM-5.3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Command A or GLM-5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Command A is not marked open weight; GLM-5.3 is not marked open weight.
Can Command A and GLM-5.3 understand images?+
Command A is not documented with image input; GLM-5.3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A or GLM-5.3?+
GLM-5.3 has the larger sourced maximum output: Command A supports 8,000 and GLM-5.3 supports 131,072 output tokens.
Do Command A and GLM-5.3 support reasoning and tool use?+
Command A: tool calling. GLM-5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Command A or GLM-5.3?+
Command A has 1 sourced provider route; GLM-5.3 has 2, so GLM-5.3 has broader tracked availability.
Which offers better value, Command A or GLM-5.3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.