Ternary Bonsai 2 27B vs Grok 4.6

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#21 of 4664.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#22 of 44$0.097 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#16 of 3856.7 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.075Openrouter · Sep 22, 2026$2.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.50Openrouter · Sep 22, 2026$6.00Xai · Sep 3, 2026
Context windowMaximum documented tokens262K500K
Model facts checkedSep 18, 2026View model evidence →Aug 29, 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

FieldTernary Bonsai 2 27BGrok 4.6
DeveloperPrismMLxAI
FamilyBonsai 2Grok 4
ModelTernary Bonsai 2 27BGrok 4.6
VersionTernary Bonsai 2 27BGrok 4.6
Lifecycleactiveactive
Released2026-09-17Unknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K500K
Total parameters27.4BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessOpenrouter (Standard)Xai (Standard)
Capabilitieschat, generation, reasoning, tools, visionchat, generation, reasoning, tools
Base modelQwen3.8 27BUnknown
Effective bit width1.76 bits per weightUnknown
Language model size5.93 GBUnknown
Weight formatTernary g128 with FP16 group scalesUnknown

Ternary Bonsai 2 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers1
Canonical IDprism-ml/Ternary-Bonsai-2-27B

Grok 4.6 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.6

Primary Evidence

Sources and Freshness

Questions

Ternary Bonsai 2 27B vs Grok 4.6 FAQs

Is Ternary Bonsai 2 27B or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Ternary Bonsai 2 27B and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Ternary Bonsai 2 27B or Grok 4.6?+

Ternary Bonsai 2 27B is $0.075 and Grok 4.6 is $2.00 per million tokens, so Ternary Bonsai 2 27B is cheaper on this metric. Ternary Bonsai 2 27B is $0.50 and Grok 4.6 is $6.00 per million tokens, so Ternary Bonsai 2 27B is cheaper on this metric.

Which has a larger context window, Ternary Bonsai 2 27B or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Ternary Bonsai 2 27B supports 262K and Grok 4.6 supports 500K.

Which performs better in benchmarks, Ternary Bonsai 2 27B or Grok 4.6?+

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

Can Ternary Bonsai 2 27B or Grok 4.6 be self-hosted?+

Ternary Bonsai 2 27B is the only model in this pair currently marked as self-hostable. Ternary Bonsai 2 27B is open weight; Grok 4.6 is not marked open weight.

Can Ternary Bonsai 2 27B and Grok 4.6 understand images?+

Ternary Bonsai 2 27B is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Ternary Bonsai 2 27B or Grok 4.6?+

Neither has a larger sourced maximum output. Ternary Bonsai 2 27B is — and Grok 4.6 is —.

Do Ternary Bonsai 2 27B and Grok 4.6 support reasoning and tool use?+

Ternary Bonsai 2 27B: reasoning, tool calling, and image input. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Ternary Bonsai 2 27B or Grok 4.6?+

Ternary Bonsai 2 27B has 1 sourced provider route; Grok 4.6 has 1, a tie.

Which offers better value, Ternary Bonsai 2 27B or Grok 4.6?+

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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