Model comparison
Laguna M.1 vs Qwen3.5-122B-A10B
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Laguna M.1 unranked (Not scored); Qwen3.5-122B-A10B #52 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna M.1 and Qwen3.5-122B-A10B share 2 comparable benchmark results. 2 of 8 categories are comparable. 3 results are unique to Laguna M.1; 29 to Qwen3.5-122B-A10B.
Updated July 27, 2026- Shared results
- 2
- Laguna M.1 only
- 3
- Qwen3.5-122B-A10B only
- 29
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna M.1 makes more sense if its workflow fits your team better; Qwen3.5-122B-A10B is the better fit if agentic is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 2 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 M.1 and Qwen3.5-122B-A10B 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.
Qwen3.5-122B-A10B gives you the larger context window at 262K, compared with 256K for Laguna M.1.
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 M.1 | Δ | Qwen3.5-122B-A10B |
|---|---|---|---|
| Agentic | Laguna M.145.8 | Margin→ 10.6 | Qwen3.5-122B-A10B56.4 |
| Coding | Laguna M.164.8 | Margin→ 7.2 | Qwen3.5-122B-A10B72.0 |
| Reasoning | Laguna M.1Not measured | MarginNo overlap | Qwen3.5-122B-A10B60.2 |
| Knowledge | Laguna M.1Not measured | MarginNo overlap | Qwen3.5-122B-A10B83.6 |
| Multilingual | Laguna M.1Not measured | MarginNo overlap | Qwen3.5-122B-A10B82.2 |
| Multimodal | Laguna M.1Not measured | MarginNo overlap | Qwen3.5-122B-A10B77.2 |
| Inst. Following | Laguna M.1Not measured | MarginNo overlap | Qwen3.5-122B-A10B93.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 45.8%B 49.4%Winner: Qwen3.5-122B-A10BΔ 3.6Terminal-Bench 2.0: Laguna M.1 scored 45.8%; Qwen3.5-122B-A10B scored 49.4%. Qwen3.5-122B-A10B wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 74.6%B 72%Winner: Laguna M.1Δ 2.6SWE-bench Verified: Laguna M.1 scored 74.6%; Qwen3.5-122B-A10B scored 72%. Laguna M.1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna M.1 | Qwen3.5-122B-A10B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna M.1Not available | Qwen3.5-122B-A10B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Laguna M.1Not available | Qwen3.5-122B-A10BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna M.1Not available | Qwen3.5-122B-A10BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna M.1256K | Qwen3.5-122B-A10B262K | Qwen3.5-122B-A10B lists the larger context window. |
Benchmark Deep Dive
AgenticQwen3.5-122B-A10B wins7 benchmarks
| Benchmark | Laguna M.1 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 45.8% | 49.4% | Qwen3.5-122B-A10B leads |
| BrowseCompSource | — | 63.8% | Not comparable |
| OSWorld-VerifiedSource | — | 58% | Not comparable |
| τ²-bench resultsSource | — | 93.6% | Not comparable |
| AA Agentic IndexSource | — | 20.7% | Not comparable |
| GDPval-AASource | — | 24.1% | Not comparable |
| GDPval-AASource | — | 982 | Not comparable |
CodingQwen3.5-122B-A10B wins6 benchmarks
Reasoning3 benchmarks
Knowledge9 benchmarks
| Benchmark | Laguna M.1 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMLU-ProSource | — | 86.7% | Not comparable |
| SuperGPQASource | — | 67.1% | Not comparable |
| GPQASource | — | 86.6% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 32.3% | Not comparable |
| AA-GPQA DiamondSource | — | 85.7% | Not comparable |
| AA-HLESource | — | 23.4% | Not comparable |
| AA-Omniscience IndexSource | — | -39.6% | Not comparable |
| AA-Omniscience AccuracySource | — | 24.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 85.5% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Laguna M.1 | Qwen3.5-122B-A10B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 82.2% | Not comparable |
Multimodal6 benchmarks
Frequently Asked Questions (3)
Which is better, Laguna M.1 or Qwen3.5-122B-A10B?
Laguna M.1 and Qwen3.5-122B-A10B 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 M.1 or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 64.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna M.1 or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the edge for agentic tasks in this comparison, averaging 56.4 versus 45.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
One email each week. Unsubscribe anytime.