Command A Reasoning vs Ternary Bonsai 1.7B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens256K33K
Model facts checkedSep 3, 2026View model evidence →Sep 18, 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 →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldCommand A ReasoningTernary Bonsai 1.7B
DeveloperCoherePrismML
FamilyCommand ABonsai 1 7b
ModelCommand A ReasoningTernary Bonsai 1.7B
VersionCommand A ReasoningTernary Bonsai 1.7B
Lifecycleactiveactive
Released2025-08-212026-04-18
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText
Output modalitiesTextText
Context window256K33K
Total parameters111B1.7B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessCohere (Standard)Unknown
Capabilitiesagents, chat, citations, reasoning, rag, structured_outputs, toolschat, generation
Effective bit widthUnknown1.58 bits per weight
Weight sizeUnknown0.46 GB
Weight formatUnknownTernary Q2_0

Command A Reasoning Capabilities

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

Ternary Bonsai 1.7B Capabilities

chatgeneration
Serving providers0
Canonical IDprism-ml/Ternary-Bonsai-1.7B

Primary Evidence

Sources and Freshness

Questions

Command A Reasoning vs Ternary Bonsai 1.7B FAQs

Is Command A Reasoning or Ternary Bonsai 1.7B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Reasoning and Ternary Bonsai 1.7B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A Reasoning or Ternary Bonsai 1.7B?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Command A Reasoning or Ternary Bonsai 1.7B?+

Command A Reasoning has the larger sourced context window. Command A Reasoning supports 256K and Ternary Bonsai 1.7B supports 33K.

Which performs better in benchmarks, Command A Reasoning or Ternary Bonsai 1.7B?+

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 Ternary Bonsai 1.7B be self-hosted?+

Ternary Bonsai 1.7B is the only model in this pair currently marked as self-hostable. Command A Reasoning is not marked open weight; Ternary Bonsai 1.7B is open weight.

Can Command A Reasoning and Ternary Bonsai 1.7B understand images?+

Command A Reasoning is not documented with image input; Ternary Bonsai 1.7B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A Reasoning or Ternary Bonsai 1.7B?+

Neither has a larger sourced maximum output. Command A Reasoning is 32K and Ternary Bonsai 1.7B is —.

Do Command A Reasoning and Ternary Bonsai 1.7B support reasoning and tool use?+

Command A Reasoning: reasoning and tool calling. Ternary Bonsai 1.7B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Command A Reasoning or Ternary Bonsai 1.7B?+

Command A Reasoning has 1 sourced provider route; Ternary Bonsai 1.7B has 0, so Command A Reasoning has broader tracked availability.

Which offers better value, Command A Reasoning or Ternary Bonsai 1.7B?+

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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