Model comparison
DeepSeek V4 Pro Base vs Ternary Bonsai 4B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. DeepSeek V4 Pro Base and Ternary Bonsai 4B share 0 comparable benchmark results. 0 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro Base; 0 to Ternary Bonsai 4B.
Updated July 23, 2026- Shared results
- 0
- DeepSeek V4 Pro Base only
- 24
- Ternary Bonsai 4B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V4 Pro Base and Ternary Bonsai 4B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Ternary Bonsai 4B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
DeepSeek V4 Pro Base has the larger context window at 1M, compared with 32K for Ternary Bonsai 4B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro Base | Ternary Bonsai 4B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro BaseNot available | Ternary Bonsai 4B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro BaseNot available | Ternary Bonsai 4BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro BaseNot available | Ternary Bonsai 4BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro Base1M | Ternary Bonsai 4B32K | DeepSeek V4 Pro Base lists the larger context window. |
Benchmark Deep Dive
Coding2 benchmarks
Reasoning6 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V4 Pro Base | Ternary Bonsai 4B | Result |
|---|---|---|---|
| AGIEvalSource | 83.1% | — | Not comparable |
| MMLUSource | 90.1% | — | Not comparable |
| MMLU-ReduxSource | 90.8% | — | Not comparable |
| MMLU-ProSource | 73.5% | — | Not comparable |
| MMMLUSource | 90.3% | — | Not comparable |
| C-EvalSource | 93.1% | — | Not comparable |
| CMMLUSource | 90.8% | — | Not comparable |
| MultiLoKoSource | 51.1% | — | Not comparable |
| SimpleQASource | 55.2% | — | Not comparable |
| SuperGPQASource | 53.9% | — | Not comparable |
| FACTS ParametricSource | 62.6% | — | Not comparable |
| TriviaQASource | 85.6% | — | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | DeepSeek V4 Pro Base | Ternary Bonsai 4B | Result |
|---|---|---|---|
| MGSMSource | 84.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek V4 Pro Base and Ternary Bonsai 4B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for DeepSeek V4 Pro Base and Ternary Bonsai 4B today?
DeepSeek V4 Pro Base: Pricing unavailable Ternary Bonsai 4B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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