Model comparison
MiMo-V2.5-Pro 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.
Public leaderboard positions: MiMo-V2.5-Pro #14 (Supported); Ternary Bonsai 1.7B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2.5-Pro and Ternary Bonsai 1.7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 31 results are unique to MiMo-V2.5-Pro; 0 to Ternary Bonsai 1.7B.
Updated July 21, 2026- Shared results
- 0
- MiMo-V2.5-Pro only
- 31
- Ternary Bonsai 1.7B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for MiMo-V2.5-Pro 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.
MiMo-V2.5-Pro has the larger context window at 1M, 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 | MiMo-V2.5-Pro | Ternary Bonsai 1.7B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2.5-ProNot available | Ternary Bonsai 1.7B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2.5-ProNot available | Ternary Bonsai 1.7BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2.5-ProNot available | Ternary Bonsai 1.7BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2.5-Pro1M | Ternary Bonsai 1.7B32K | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Claw-EvalSource | 63.8% | — | Not comparable |
| GDPval-AASource | 1265 | — | Not comparable |
| τ³-bench resultsSource | 72.9% | — | Not comparable |
| Terminal-Bench 2.0Source | 68.4% | — | Not comparable |
| AA Agentic IndexSource | 29.1% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | — | Not comparable |
| GDPval-AASource | 38.3% | — | Not comparable |
| APEX-Agents-AASource | 2.4% | — | Not comparable |
| Gert LabsSource | 62.70% | — | Not comparable |
| AA BriefcaseSource | 873 | — | Not comparable |
| AA ITBenchSource | 38.2% | — | Not comparable |
| terminalBenchHardSource | 43.2% | — | Not comparable |
| aaTerminalBench21Source | 65.2% | — | Not comparable |
| AA Harvey LABSource | 73.3% | — | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| HLESource | 48% | — | Not comparable |
| HLE w/o toolsSource | 34% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 42.2% | — | Not comparable |
| AA-GPQA DiamondSource | 86.6% | — | Not comparable |
| AA-HLESource | 33.8% | — | Not comparable |
| AA-Omniscience IndexSource | 3.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 22.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 24.5% | — | Not comparable |
| AA Openness IndexSource | 38.9% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1298 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ternary Bonsai 1.7B | Result |
|---|---|---|---|
| AA-IFBenchSource | 79.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare MiMo-V2.5-Pro 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 MiMo-V2.5-Pro and Ternary Bonsai 1.7B today?
MiMo-V2.5-Pro: Pricing unavailable 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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