Bonsai 27B vs Qwen3.8 Max
At a Glance
| Compare |  Bonsai 27BPrismML |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #23 of 44$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.65Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $4.951Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Sep 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
Side-by-Side Facts
| Field | Bonsai 27B | Qwen3.8-Max |
|---|---|---|
| Developer | PrismML | Qwen |
| Family | Bonsai 27b | Qwen3 8 Max |
| Model | Bonsai 27B | Qwen3.8-Max |
| Version | Bonsai 27B | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-07-04 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 27B | 2.4T |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | No | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools, vision | agents, chat, reasoning, structured_outputs, tools, vision |
| Base model | Qwen3.6 27B | Unknown |
| Effective bit width | 1 bit per weight | Unknown |
| Language model size | 3.53 GiB | Unknown |
| Weight format | Binary Q1_0 | Unknown |
Bonsai 27B Capabilities
Qwen3.8 Max Capabilities
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Primary Evidence
Sources and Freshness
Questions
Bonsai 27B vs Qwen3.8 Max FAQs
Is Bonsai 27B or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai 27B and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Bonsai 27B or Qwen3.8 Max?+
Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.
Which has a larger context window, Bonsai 27B or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced context window. Bonsai 27B supports 262K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, Bonsai 27B or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Bonsai 27B or Qwen3.8 Max be self-hosted?+
Bonsai 27B is the only model in this pair currently marked as self-hostable. Bonsai 27B is open weight; Qwen3.8 Max is not marked open weight.
Can Bonsai 27B and Qwen3.8 Max understand images?+
Bonsai 27B is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Bonsai 27B or Qwen3.8 Max?+
Neither has a larger sourced maximum output. Bonsai 27B is — and Qwen3.8 Max is 131K.
Do Bonsai 27B and Qwen3.8 Max support reasoning and tool use?+
Bonsai 27B: reasoning, tool calling, and image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Bonsai 27B or Qwen3.8 Max?+
Bonsai 27B has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Bonsai 27B or Qwen3.8 Max?+
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.