Command A Translate vs GLM 5.3

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingCommand A TranslateGLM-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 TranslateVerified Sep 3, 2026
Z.ai · activeGLM 5.3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldCommand A TranslateGLM-5.3
DeveloperCohereZ.ai
FamilyCommand AGlm 5 3
ModelCommand A TranslateGLM-5.3
VersionCommand A TranslateGLM-5.3
Lifecycleactiveactive
Released2025-08-28Unknown
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextText
Context window8K1,000K
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)
Capabilitieschat, generation, structured_outputs, translationagents, chat, reasoning, structured_outputs, tools

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

Command A Translate Capabilities

chatgenerationstructured outputstranslation
Input price
Output price
Serving providers1
Canonical IDcoherelabs/command-a-translate-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

All text comparisons →
APairBContext
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Primary Evidence

Sources and Freshness

Questions

Command A Translate vs GLM 5.3 FAQs

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

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

GLM 5.3 has the larger sourced context window. Command A Translate supports 8K and GLM 5.3 supports 1,000K.

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

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

Can Command A Translate and GLM 5.3 understand images?+

Command A Translate 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 Translate or GLM 5.3?+

GLM 5.3 has the larger sourced maximum output: Command A Translate supports 8K and GLM 5.3 supports 131K output tokens.

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

Command A Translate: none of these features are definitively sourced. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Command A Translate or GLM 5.3?+

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

Which offers better value, Command A Translate 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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