Command A Reasoning vs GLM 5

At a Glance

Compare
GLM 5Z.ai
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.60Deepinfra · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$1.92Openrouter · Aug 28, 2026
Context windowMaximum documented tokens256K203K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
BenchmarkCommand A ReasoningGLM-5
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified62.9076% of row best · points · Cohere Command A Reasoning · 2,002 output tokens / case82.89100% of row best · points · GLM-5 · 15,496 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner0 benchmark winsNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldCommand A ReasoningGLM-5
DeveloperCohereZ.ai
FamilyCommand AGlm 5
ModelCommand A ReasoningGLM-5
VersionCommand A ReasoningGLM-5
Lifecycleactiveactive
Released2025-08-21Unknown
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextText
Context window256K203K
Total parameters111B753.9B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessCohere (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesagents, chat, citations, reasoning, rag, structured_outputs, toolschat, generation, reasoning, tools

Command A Reasoning Capabilities

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

GLM 5 Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDzai-org/GLM-5

Primary Evidence

Sources and Freshness

Questions

Command A Reasoning vs GLM 5 FAQs

Is Command A Reasoning or GLM 5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Reasoning and GLM 5, 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?+

Only GLM 5 has a directly sourced input price: $0.60 per million tokens. Only GLM 5 has a directly sourced output price: $1.92 per million tokens.

Which has a larger context window, Command A Reasoning or GLM 5?+

Command A Reasoning has the larger sourced context window. Command A Reasoning supports 256K and GLM 5 supports 203K.

Which performs better in benchmarks, Command A Reasoning or GLM 5?+

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 be self-hosted?+

GLM 5 is the only model in this pair currently marked as self-hostable. Command A Reasoning is not marked open weight; GLM 5 is open weight.

Can Command A Reasoning and GLM 5 understand images?+

Command A Reasoning is not documented with image input; GLM 5 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?+

Neither has a larger sourced maximum output. Command A Reasoning is 32K and GLM 5 is —.

Do Command A Reasoning and GLM 5 support reasoning and tool use?+

Command A Reasoning: reasoning and tool calling. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Command A Reasoning or GLM 5?+

Command A Reasoning has 1 sourced provider route; GLM 5 has 4, so GLM 5 has broader tracked availability.

Which offers better value, Command A Reasoning or GLM 5?+

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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