Kimi K2 Thinking vs Bonsai 8B
At a Glance
| Compare |  Kimi K2 ThinkingMoonshot AI |  Bonsai 8BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.60Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 66K |
| Model facts checked | Aug 28, 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 | Kimi-K2-Thinking | Bonsai 8B |
|---|---|---|
| Developer | Moonshot AI | PrismML |
| Family | Kimi K2 Thinking | Bonsai 8b |
| Model | Kimi-K2-Thinking | Bonsai 8B |
| Version | Kimi-K2-Thinking | Bonsai 8B |
| Lifecycle | active | active |
| Released | 2025-11-06 | 2026-03-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 66K |
| Total parameters | 1T | 8.2B |
| Active parameters | 32B | Unknown |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | No |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, generation |
| Effective bit width | Unknown | 1 bit per weight |
| Weight size | Unknown | 1.16 GB |
| Weight format | Unknown | Binary Q1_0 |
Kimi K2 Thinking Capabilities
Bonsai 8B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Kimi K2 Thinking vs Bonsai 8B FAQs
Is Kimi K2 Thinking or Bonsai 8B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Bonsai 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Kimi K2 Thinking or Bonsai 8B?+
Only Kimi K2 Thinking has a directly sourced input price: $0.60 per million tokens. Only Kimi K2 Thinking has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Kimi K2 Thinking or Bonsai 8B?+
Kimi K2 Thinking has the larger sourced context window. Kimi K2 Thinking supports 262K and Bonsai 8B supports 66K.
Which performs better in benchmarks, Kimi K2 Thinking or Bonsai 8B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Kimi K2 Thinking or Bonsai 8B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Kimi K2 Thinking is open weight; Bonsai 8B is open weight.
Can Kimi K2 Thinking and Bonsai 8B understand images?+
Kimi K2 Thinking is not documented with image input; Bonsai 8B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Kimi K2 Thinking or Bonsai 8B?+
Neither has a larger sourced maximum output. Kimi K2 Thinking is 131K and Bonsai 8B is —.
Do Kimi K2 Thinking and Bonsai 8B support reasoning and tool use?+
Kimi K2 Thinking: reasoning and tool calling. Bonsai 8B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Kimi K2 Thinking or Bonsai 8B?+
Kimi K2 Thinking has 2 sourced provider routes; Bonsai 8B has 0, so Kimi K2 Thinking has broader tracked availability.
Which offers better value, Kimi K2 Thinking or 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.