Model comparison
Qwen2.5 Coder 32B Instruct 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.
Public leaderboard positions: Qwen2.5 Coder 32B Instruct #186 (Supported); Ternary Bonsai 4B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen2.5 Coder 32B Instruct and Ternary Bonsai 4B share 0 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Qwen2.5 Coder 32B Instruct; 0 to Ternary Bonsai 4B.
Updated July 21, 2026- Shared results
- 0
- Qwen2.5 Coder 32B Instruct only
- 4
- Ternary Bonsai 4B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Qwen2.5 Coder 32B Instruct 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.
Qwen2.5 Coder 32B Instruct has the larger context window at 128K, 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 | Qwen2.5 Coder 32B Instruct | Ternary Bonsai 4B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen2.5 Coder 32B Instruct$0 input / $0 output | Ternary Bonsai 4B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Qwen2.5 Coder 32B InstructNot available | Ternary Bonsai 4BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen2.5 Coder 32B InstructNot available | Ternary Bonsai 4BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen2.5 Coder 32B Instruct128K | Ternary Bonsai 4B32K | Qwen2.5 Coder 32B Instruct lists the larger context window. |
Benchmark Deep Dive
Coding1 benchmarks
| Benchmark | Qwen2.5 Coder 32B Instruct | Ternary Bonsai 4B | Result |
|---|---|---|---|
| AA-SciCodeSource | 27.1% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct and Ternary Bonsai 4B today?
Qwen2.5 Coder 32B Instruct: $0.00 input / $0.00 output per 1M tokens 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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