Model comparison
Mistral Small 4 (Reasoning) vs Ternary Bonsai 1.7B
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. Mistral Small 4 (Reasoning) and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Mistral Small 4 (Reasoning); 0 to Ternary Bonsai 1.7B.
Updated July 21, 2026- Shared results
- 0
- Mistral Small 4 (Reasoning) only
- 16
- Ternary Bonsai 1.7B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Mistral Small 4 (Reasoning) and Ternary Bonsai 1.7B 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 1.7B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Mistral Small 4 (Reasoning) is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ternary Bonsai 1.7B. Mistral Small 4 (Reasoning) has the larger context window at 256K, compared with 32K for Ternary Bonsai 1.7B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mistral Small 4 (Reasoning) | Ternary Bonsai 1.7B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mistral Small 4 (Reasoning)$0.15 input / $0.6 output | Ternary Bonsai 1.7B$0 input / $0 output | Ternary Bonsai 1.7B has the lower combined listed price. |
| Generation speedtokens per second | Mistral Small 4 (Reasoning)Not available | Ternary Bonsai 1.7BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mistral Small 4 (Reasoning)Not available | Ternary Bonsai 1.7BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mistral Small 4 (Reasoning)256K | Ternary Bonsai 1.7B32K | Mistral Small 4 (Reasoning) lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Mistral Small 4 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.6% | — | Not comparable |
| AA-GPQA DiamondSource | 76.9% | — | Not comparable |
| AA-HLESource | 9.5% | — | Not comparable |
| AA-Omniscience IndexSource | -29.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 22.1% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 66.8% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Mistral Small 4 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 56.8% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Mistral Small 4 (Reasoning) | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Mistral Small 4 (Reasoning) and Ternary Bonsai 1.7B 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 Mistral Small 4 (Reasoning) and Ternary Bonsai 1.7B today?
Mistral Small 4 (Reasoning): $0.15 input / $0.60 output per 1M tokens Ternary Bonsai 1.7B: $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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