Model comparison
Laguna XS.2 vs MiMo-V2-Omni
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Laguna XS.2 unranked (Not scored); MiMo-V2-Omni #43 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna XS.2 and MiMo-V2-Omni share 1 comparable benchmark result. 1 of 8 categories are comparable. 4 results are unique to Laguna XS.2; 13 to MiMo-V2-Omni.
Updated July 27, 2026- Shared results
- 1
- Laguna XS.2 only
- 4
- MiMo-V2-Omni only
- 13
- Comparable categories
- 1 / 8
Treat this as a split decision. Laguna XS.2 makes more sense if its workflow fits your team better; MiMo-V2-Omni is the better fit if coding is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 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-Omni 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-Omni gives you the larger context window at 262K, 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-Omni |
|---|---|---|---|
| Coding | Laguna XS.260.8 | Margin→ 14.0 | MiMo-V2-Omni74.8 |
| Agentic | Laguna XS.235.7 | MarginNo overlap | MiMo-V2-OmniNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 69.9%B 74.8%Winner: MiMo-V2-OmniΔ 4.9SWE-bench Verified: Laguna XS.2 scored 69.9%; MiMo-V2-Omni scored 74.8%. MiMo-V2-Omni 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-Omni | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna XS.2$0 input / $0 output | MiMo-V2-OmniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna XS.2Not available | MiMo-V2-OmniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna XS.2Not available | MiMo-V2-OmniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna XS.2256K | MiMo-V2-Omni262K | MiMo-V2-Omni lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
CodingMiMo-V2-Omni wins5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2-Omni | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 35.0% | Not comparable |
| AA-GPQA DiamondSource | — | 82.8% | Not comparable |
| AA-HLESource | — | 19.9% | Not comparable |
| AA-Omniscience IndexSource | — | -17.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 18.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 44.4% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2-Omni | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 69.9% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Laguna XS.2 | MiMo-V2-Omni | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 53.5% | Not comparable |
Frequently Asked Questions (2)
Which is better, Laguna XS.2 or MiMo-V2-Omni?
Laguna XS.2 and MiMo-V2-Omni 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-Omni?
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 60.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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