Claude Sonnet 4.6 vs Ternary Bonsai 27B

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#24 of 4660.3 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#31 of 44$0.198 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#31 of 3847.3 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$3.00Anthropic · Sep 3, 2026Not reported
Output priceFrom · USD / 1M tokens$15.00Anthropic · Sep 3, 2026Not reported
Context windowMaximum documented tokens1,000K262K
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

FieldClaude Sonnet 4.6Ternary Bonsai 27B
DeveloperAnthropicPrismML
FamilyClaude 4Bonsai 27b
ModelClaude Sonnet 4.6Ternary Bonsai 27B
VersionClaude Sonnet 4.6Ternary Bonsai 27B
Lifecycleactiveactive
Released2026-02-172026-07-04
Knowledge cutoff2025-08-01Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K262K
Total parametersUnknown27B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard)Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools, vision
Base modelUnknownQwen3.6 27B
Effective bit widthUnknown1.58 bits per weight
Language model sizeUnknown6.66 GiB
Weight formatUnknownTernary Q2_0

Claude Sonnet 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDanthropic/claude-sonnet-4-6

Ternary Bonsai 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers1
Canonical IDprism-ml/Ternary-Bonsai-27B

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.6 vs Ternary Bonsai 27B FAQs

Is Claude Sonnet 4.6 or Ternary Bonsai 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and Ternary Bonsai 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 4.6 or Ternary Bonsai 27B?+

Only Claude Sonnet 4.6 has a directly sourced input price: $3.00 per million tokens. Only Claude Sonnet 4.6 has a directly sourced output price: $15.00 per million tokens.

Which has a larger context window, Claude Sonnet 4.6 or Ternary Bonsai 27B?+

Claude Sonnet 4.6 has the larger sourced context window. Claude Sonnet 4.6 supports 1,000K and Ternary Bonsai 27B supports 262K.

Which performs better in benchmarks, Claude Sonnet 4.6 or Ternary Bonsai 27B?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Claude Sonnet 4.6 or Ternary Bonsai 27B be self-hosted?+

Ternary Bonsai 27B is the only model in this pair currently marked as self-hostable. Claude Sonnet 4.6 is not marked open weight; Ternary Bonsai 27B is open weight.

Can Claude Sonnet 4.6 and Ternary Bonsai 27B understand images?+

Claude Sonnet 4.6 is documented with image input; Ternary Bonsai 27B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Sonnet 4.6 or Ternary Bonsai 27B?+

Neither has a larger sourced maximum output. Claude Sonnet 4.6 is 128K and Ternary Bonsai 27B is —.

Do Claude Sonnet 4.6 and Ternary Bonsai 27B support reasoning and tool use?+

Claude Sonnet 4.6: reasoning, tool calling, and image input. Ternary Bonsai 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 4.6 or Ternary Bonsai 27B?+

Claude Sonnet 4.6 has 2 sourced provider routes; Ternary Bonsai 27B has 1, so Claude Sonnet 4.6 has broader tracked availability.

Which offers better value, Claude Sonnet 4.6 or Ternary Bonsai 27B?+

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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