Model comparison
Laguna XS.2 vs MiMo-V2.5-Pro
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Laguna XS.2 unranked (Not scored); MiMo-V2.5-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna XS.2 and MiMo-V2.5-Pro share 3 comparable benchmark results. 2 of 8 categories are comparable. 2 results are unique to Laguna XS.2; 28 to MiMo-V2.5-Pro.
Updated July 27, 2026- Shared results
- 3
- Laguna XS.2 only
- 2
- MiMo-V2.5-Pro only
- 28
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna XS.2 makes more sense if coding is the priority; MiMo-V2.5-Pro is the better fit if agentic is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Laguna XS.2 and MiMo-V2.5-Pro finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 256K for Laguna XS.2.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Laguna XS.2 | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Agentic | Laguna XS.235.7 | Margin→ 32.7 | MiMo-V2.5-Pro68.4 |
| Coding | Laguna XS.260.8 | Margin← 3.6 | MiMo-V2.5-Pro57.2 |
| Knowledge | Laguna XS.2Not measured | MarginNo overlap | MiMo-V2.5-Pro48.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 35.7%B 68.4%Winner: MiMo-V2.5-ProΔ 32.7Terminal-Bench 2.0: Laguna XS.2 scored 35.7%; MiMo-V2.5-Pro scored 68.4%. MiMo-V2.5-Pro wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 46.3%B 57.2%Winner: MiMo-V2.5-ProΔ 10.9SWE-bench Pro: Laguna XS.2 scored 46.3%; MiMo-V2.5-Pro scored 57.2%. MiMo-V2.5-Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna XS.2 | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna XS.2$0 input / $0 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna XS.2Not available | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna XS.2Not available | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna XS.2256K | MiMo-V2.5-Pro1M | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
AgenticMiMo-V2.5-Pro wins14 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 35.7% | 68.4% | MiMo-V2.5-Pro leads |
| Claw-EvalSource | — | 63.8% | Not comparable |
| GDPval-AASource | — | 1265 | Not comparable |
| τ³-bench resultsSource | — | 72.9% | 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 | — | 878 | 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 |
CodingLaguna XS.2 wins6 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 69.9% | — | Not comparable |
| SWE MultilingualSource | 57.7% | — | Not comparable |
| SWE-bench ProSource | 46.3% | 57.2% | MiMo-V2.5-Pro leads |
| Terminal-Bench 2.0Source | 35.7% | 68.4% | MiMo-V2.5-Pro leads |
| AA Coding IndexSource | — | 60.2% | Not comparable |
| AA-SciCodeSource | — | 50.2% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2.5-Pro | 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 | Laguna XS.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1309 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 79.9% | Not comparable |
Frequently Asked Questions (3)
Which is better, Laguna XS.2 or MiMo-V2.5-Pro?
Laguna XS.2 and MiMo-V2.5-Pro are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Laguna XS.2 or MiMo-V2.5-Pro?
Laguna XS.2 has the edge for coding in this comparison, averaging 60.8 versus 57.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna XS.2 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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