Claude Sonnet 4.6 vs Ternary Bonsai 1.7B

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 tokens1,000K33K
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 1.7B
DeveloperAnthropicPrismML
FamilyClaude 4Bonsai 1 7b
ModelClaude Sonnet 4.6Ternary Bonsai 1.7B
VersionClaude Sonnet 4.6Ternary Bonsai 1.7B
Lifecycleactiveactive
Released2026-02-172026-04-18
Knowledge cutoff2025-08-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,000K33K
Total parametersUnknown1.7B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation
Effective bit widthUnknown1.58 bits per weight
Weight sizeUnknown0.46 GB
Weight formatUnknownTernary Q2_0

Claude Sonnet 4.6 Capabilities

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

Ternary Bonsai 1.7B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.6 vs Ternary Bonsai 1.7B FAQs

Is Claude Sonnet 4.6 or Ternary Bonsai 1.7B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and Ternary Bonsai 1.7B, 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 1.7B?+

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 1.7B?+

Claude Sonnet 4.6 has the larger sourced context window. Claude Sonnet 4.6 supports 1,000K and Ternary Bonsai 1.7B supports 33K.

Which performs better in benchmarks, Claude Sonnet 4.6 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 Claude Sonnet 4.6 or Ternary Bonsai 1.7B be self-hosted?+

Ternary Bonsai 1.7B is the only model in this pair currently marked as self-hostable. Claude Sonnet 4.6 is not marked open weight; Ternary Bonsai 1.7B is open weight.

Can Claude Sonnet 4.6 and Ternary Bonsai 1.7B understand images?+

Claude Sonnet 4.6 is 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, Claude Sonnet 4.6 or Ternary Bonsai 1.7B?+

Neither has a larger sourced maximum output. Claude Sonnet 4.6 is 128K and Ternary Bonsai 1.7B is —.

Do Claude Sonnet 4.6 and Ternary Bonsai 1.7B support reasoning and tool use?+

Claude Sonnet 4.6: reasoning, tool calling, and image input. 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, Claude Sonnet 4.6 or Ternary Bonsai 1.7B?+

Claude Sonnet 4.6 has 2 sourced provider routes; Ternary Bonsai 1.7B has 0, so Claude Sonnet 4.6 has broader tracked availability.

Which offers better value, Claude Sonnet 4.6 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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