Claude Opus 4.7 vs Ternary Bonsai 8B
At a Glance
| Compare | Claude Opus 4.7Anthropic |  Ternary Bonsai 8BPrismML |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #11 of 4679.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #37 of 44$0.286 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #20 of 3852.7 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 66K |
| Model facts checked | Sep 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
Side-by-Side Facts
| Field | Claude Opus 4.7 | Ternary Bonsai 8B |
|---|---|---|
| Developer | Anthropic | PrismML |
| Family | Claude 4 | Bonsai 8b |
| Model | Claude Opus 4.7 | Ternary Bonsai 8B |
| Version | Claude Opus 4.7 | Ternary Bonsai 8B |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2026-04-18 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 66K |
| Total parameters | Unknown | 8.2B |
| 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), Deepinfra (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation |
| Effective bit width | Unknown | 1.58 bits per weight |
| Weight size | Unknown | 2.18 GB |
| Weight format | Unknown | Ternary Q2_0 |
Claude Opus 4.7 Capabilities
Ternary Bonsai 8B Capabilities
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Claude Opus 4.7Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs Ternary Bonsai 8B FAQs
Is Claude Opus 4.7 or Ternary Bonsai 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Ternary Bonsai 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.7 or Ternary Bonsai 8B?+
Only Claude Opus 4.7 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.7 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.7 or Ternary Bonsai 8B?+
Claude Opus 4.7 has the larger sourced context window. Claude Opus 4.7 supports 1,000K and Ternary Bonsai 8B supports 66K.
Which performs better in benchmarks, Claude Opus 4.7 or Ternary Bonsai 8B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.7 or Ternary Bonsai 8B be self-hosted?+
Ternary Bonsai 8B is the only model in this pair currently marked as self-hostable. Claude Opus 4.7 is not marked open weight; Ternary Bonsai 8B is open weight.
Can Claude Opus 4.7 and Ternary Bonsai 8B understand images?+
Claude Opus 4.7 is documented with image input; Ternary Bonsai 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.7 or Ternary Bonsai 8B?+
Neither has a larger sourced maximum output. Claude Opus 4.7 is 128K and Ternary Bonsai 8B is —.
Do Claude Opus 4.7 and Ternary Bonsai 8B support reasoning and tool use?+
Claude Opus 4.7: reasoning, tool calling, and image input. Ternary Bonsai 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.7 or Ternary Bonsai 8B?+
Claude Opus 4.7 has 2 sourced provider routes; Ternary Bonsai 8B has 0, so Claude Opus 4.7 has broader tracked availability.
Which offers better value, Claude Opus 4.7 or Ternary Bonsai 8B?+
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.