Claude Fable 5.1 vs Ternary Bonsai 1.7B
At a Glance
| Compare | Claude Fable 5.1Anthropic |  Ternary Bonsai 1.7BPrismML |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #1 of 4699.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #43 of 44$0.824 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #22 of 3851.7 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $10.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $50.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 33K |
| Model facts checked | Sep 2, 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
Side-by-Side Facts
| Field | Claude Fable 5.1 | Ternary Bonsai 1.7B |
|---|---|---|
| Developer | Anthropic | PrismML |
| Family | Claude 5 1 | Bonsai 1 7b |
| Model | Claude Fable 5.1 | Ternary Bonsai 1.7B |
| Version | Claude Fable 5.1 | Ternary Bonsai 1.7B |
| Lifecycle | active | active |
| Released | 2026-09-01 | 2026-04-18 |
| Knowledge cutoff | 2026-06-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 33K |
| Total parameters | Unknown | 1.7B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, generation |
| Effective bit width | Unknown | 1.58 bits per weight |
| Weight size | Unknown | 0.46 GB |
| Weight format | Unknown | Ternary Q2_0 |
Claude Fable 5.1 Capabilities
Ternary Bonsai 1.7B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Fable 5.1 vs Ternary Bonsai 1.7B FAQs
Is Claude Fable 5.1 or Ternary Bonsai 1.7B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Fable 5.1 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 Fable 5.1 or Ternary Bonsai 1.7B?+
Only Claude Fable 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Fable 5.1 has a directly sourced output price: $50.00 per million tokens.
Which has a larger context window, Claude Fable 5.1 or Ternary Bonsai 1.7B?+
Claude Fable 5.1 has the larger sourced context window. Claude Fable 5.1 supports 1,000K and Ternary Bonsai 1.7B supports 33K.
Which performs better in benchmarks, Claude Fable 5.1 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 Fable 5.1 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 Fable 5.1 is not marked open weight; Ternary Bonsai 1.7B is open weight.
Can Claude Fable 5.1 and Ternary Bonsai 1.7B understand images?+
Claude Fable 5.1 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 Fable 5.1 or Ternary Bonsai 1.7B?+
Neither has a larger sourced maximum output. Claude Fable 5.1 is 128K and Ternary Bonsai 1.7B is —.
Do Claude Fable 5.1 and Ternary Bonsai 1.7B support reasoning and tool use?+
Claude Fable 5.1: 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 Fable 5.1 or Ternary Bonsai 1.7B?+
Claude Fable 5.1 has 1 sourced provider route; Ternary Bonsai 1.7B has 0, so Claude Fable 5.1 has broader tracked availability.
Which offers better value, Claude Fable 5.1 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.