DeepSeek V4 Pro vs Ternary Bonsai 4B
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek |  Ternary Bonsai 4BPrismML |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #10 of 44$0.054 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.5441Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 33K |
| 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 | DeepSeek-V4-Pro | Ternary Bonsai 4B |
|---|---|---|
| Developer | DeepSeek | PrismML |
| Family | Deepseek V4 Pro | Bonsai 4b |
| Model | DeepSeek-V4-Pro | Ternary Bonsai 4B |
| Version | DeepSeek-V4-Pro | Ternary Bonsai 4B |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-04-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 33K |
| Total parameters | 1.6T | 4B |
| Active parameters | 49B | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | No |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | chat, generation |
| Effective bit width | Unknown | 1.58 bits per weight |
| Weight size | Unknown | 1.07 GB |
| Weight format | Unknown | Ternary Q2_0 |
DeepSeek V4 Pro Capabilities
Ternary Bonsai 4B Capabilities
Related Comparisons
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|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Ternary Bonsai 4B FAQs
Is DeepSeek V4 Pro or Ternary Bonsai 4B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Ternary Bonsai 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Ternary Bonsai 4B?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, DeepSeek V4 Pro or Ternary Bonsai 4B?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Ternary Bonsai 4B supports 33K.
Which performs better in benchmarks, DeepSeek V4 Pro or Ternary Bonsai 4B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro or Ternary Bonsai 4B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Ternary Bonsai 4B is open weight.
Can DeepSeek V4 Pro and Ternary Bonsai 4B understand images?+
DeepSeek V4 Pro is not documented with image input; Ternary Bonsai 4B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Ternary Bonsai 4B?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Ternary Bonsai 4B is —.
Do DeepSeek V4 Pro and Ternary Bonsai 4B support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Ternary Bonsai 4B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Ternary Bonsai 4B?+
DeepSeek V4 Pro has 6 sourced provider routes; Ternary Bonsai 4B has 0, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Ternary Bonsai 4B?+
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.