| Signal | Laguna M.1 | Delta | Laguna XS.2 |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 100 | 0 | |
Context window size | 77 | -- | |
Recency | 100 | -- | |
Output Capacity | 75 | -- | |
| Overall Result | 0 wins | of 5 | 1 wins |
Score History Unavailable
Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.
40
Laguna M.1
40
Laguna XS.2
poolside
poolside
Laguna XS.2 saves you $20.00/month
That's $240.00/year compared to Laguna M.1 at your current usage level of 100K calls/month.
| Metric | Laguna M.1 | Laguna XS.2 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #187 | #185 | Laguna XS.2 |
| Quality Rank | #187 | #185 | Laguna XS.2 |
| Adoption Rank | #187 | #185 | Laguna XS.2 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.20/$0.40/M | $0.10/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Laguna M.1 |
| Pricing | 100 | 100 | Laguna XS.2 |
| Context window size | 77 | 77 | Laguna M.1 |
| Recency | 100 | 100 | Laguna M.1 |
| Output Capacity | 75 | 75 | Laguna M.1 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #187), placing it in the top 36% of all 290 models tracked.
Scores 40/100 (rank #185), placing it in the top 37% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Laguna XS.2 offers 50% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Laguna XS.2 vs $9.00/month with Laguna M.1 - a $4.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Laguna XS.2 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Laguna M.1 and Laguna XS.2 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Laguna M.1
Marginally better benchmark scores; both are excellent
Best for Cost
Laguna XS.2
50% lower pricing; better value at scale
Best for Reliability
Laguna M.1
Higher uptime and faster response speeds
Best for Prototyping
Laguna M.1
Stronger community support and better developer experience
Best for Production
Laguna M.1
Wider enterprise adoption and proven at scale
by poolside
| Capability | Laguna M.1 | Laguna XS.2 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
poolside
poolside
Laguna XS.2 saves you $0.4200/month
That's 50% cheaper than Laguna M.1 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Laguna M.1 | Laguna XS.2 |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 32,768 | 32,768 |
| Open Source | Yes | Yes |
| Created | Apr 28, 2026 | Apr 28, 2026 |