Bonsai Image Binary 4B vs Qwen3.8 Max
At a Glance
| Compare |  Bonsai Image Binary 4BPrismML |  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 | Not reported | 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 Image Binary 4B | Qwen3.8-Max |
|---|---|---|
| Developer | PrismML | Qwen |
| Family | Bonsai Image 4b | Qwen3 8 Max |
| Model | Bonsai Image Binary 4B | Qwen3.8-Max |
| Version | Bonsai Image Binary 4B | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-05-18 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Image | Text |
| Context window | Unknown | 1,000K |
| Total parameters | 4B | 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 | generation | agents, chat, reasoning, structured_outputs, tools, vision |
| Base model | FLUX.2 Klein 4B | Unknown |
| Default resolution | 512 × 512 | Unknown |
| Transformer size | 0.93 GB | Unknown |
| Weight format | Binary weights with FP16 group scales | Unknown |
Bonsai Image Binary 4B Capabilities
Qwen3.8 Max Capabilities
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Primary Evidence
Sources and Freshness
Questions
Bonsai Image Binary 4B vs Qwen3.8 Max FAQs
Is Bonsai Image Binary 4B or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Bonsai Image Binary 4B and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Bonsai Image Binary 4B 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 Image Binary 4B or Qwen3.8 Max?+
Neither model has a larger sourced context window in this comparison. Bonsai Image Binary 4B is — and Qwen3.8 Max is 1,000K.
Which performs better in benchmarks, Bonsai Image Binary 4B 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 Image Binary 4B or Qwen3.8 Max be self-hosted?+
Bonsai Image Binary 4B is the only model in this pair currently marked as self-hostable. Bonsai Image Binary 4B is open weight; Qwen3.8 Max is not marked open weight.
Can Bonsai Image Binary 4B and Qwen3.8 Max understand images?+
Bonsai Image Binary 4B is not 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 Image Binary 4B or Qwen3.8 Max?+
Neither has a larger sourced maximum output. Bonsai Image Binary 4B is — and Qwen3.8 Max is 131K.
Do Bonsai Image Binary 4B and Qwen3.8 Max support reasoning and tool use?+
Bonsai Image Binary 4B: none of these features are definitively sourced. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Bonsai Image Binary 4B or Qwen3.8 Max?+
Bonsai Image Binary 4B has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, Bonsai Image Binary 4B 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.