Command A Reasoning vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingCommand A ReasoningGLM-5.3
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#28 of 36$0.248 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Cohere · activeCommand A ReasoningVerified Sep 3, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldCommand A ReasoningGLM-5.3
DeveloperCohereZ.ai
FamilyCommand AGlm 5 3
ModelCommand A ReasoningGLM-5.3
VersionCommand A ReasoningGLM-5.3
Lifecycleactiveactive
Released2025-08-21Unknown
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextText
Context window256K1,000K
Total parameters111BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessCohere (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitiesagents, chat, citations, reasoning, rag, structured_outputs, toolsagents, chat, reasoning, structured_outputs, tools

13 comparable fields · 7 material differences · Pair passes the primary-source comparison gate

Command A Reasoning Capabilities

agentschatcitationsreasoningragstructured outputstools
Input price
Output price
Serving providers1
Canonical IDcoherelabs/command-a-reasoning-08-2025

GLM 5.3 Capabilities

agentschatreasoningstructured outputstools
Input price$1.20
Output price$4.00
Serving providers4
Canonical IDzai-org/glm-5.3

Internal Comparison Graph

Related Comparisons

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APairBContext
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Primary Evidence

Sources and Freshness

Questions

Command A Reasoning vs GLM 5.3 FAQs

Is Command A Reasoning or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Reasoning 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 Reasoning or GLM 5.3?+

Only GLM 5.3 has a directly sourced input price: $1.20 per million tokens. Only GLM 5.3 has a directly sourced output price: $4.00 per million tokens.

Which has a larger context window, Command A Reasoning or GLM 5.3?+

GLM 5.3 has the larger sourced context window. Command A Reasoning supports 256K and GLM 5.3 supports 1,000K.

Which performs better in benchmarks, Command A Reasoning 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 Reasoning or GLM 5.3 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Command A Reasoning is not marked open weight; GLM 5.3 is not marked open weight.

Can Command A Reasoning and GLM 5.3 understand images?+

Command A Reasoning 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 Reasoning or GLM 5.3?+

GLM 5.3 has the larger sourced maximum output: Command A Reasoning supports 32K and GLM 5.3 supports 131K output tokens.

Do Command A Reasoning and GLM 5.3 support reasoning and tool use?+

Command A Reasoning: reasoning and 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 Reasoning or GLM 5.3?+

Command A Reasoning has 1 sourced provider route; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.

Which offers better value, Command A Reasoning 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.

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