| Signal | gpt-oss-120b | Delta | Laguna XS 2.1 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 46 | +46 | |
Pricing | 100 | -- | |
Context window size | 73 | -4 | |
Recency | 72 | -28 | |
Output Capacity | 85 | +10 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
40.1
current score
gpt-oss-120b
right now
40
current score
OpenAI
poolside
gpt-oss-120b saves you $1.50/month
That's $18.00/year compared to Laguna XS 2.1 at your current usage level of 100K calls/month.
| Metric | gpt-oss-120b | Laguna XS 2.1 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | gpt-oss-120b |
| Rank | #168 | #170 | gpt-oss-120b |
| Quality Rank | #168 | #170 | gpt-oss-120b |
| Adoption Rank | #168 | #170 | gpt-oss-120b |
| Parameters | 120B | -- | -- |
| Context Window | 131K | 262K | Laguna XS 2.1 |
| Pricing | $0.03/$0.15/M | $0.06/$0.12/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | gpt-oss-120b |
| Benchmarks | 46 | -- | gpt-oss-120b |
| Pricing | 100 | 100 | gpt-oss-120b |
| Context window size | 73 | 77 | Laguna XS 2.1 |
| Recency | 72 | 100 | Laguna XS 2.1 |
| Output Capacity | 85 | 75 | gpt-oss-120b |
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 #168), placing it in the top 42% of all 290 models tracked.
Scores 40/100 (rank #170), placing it in the top 42% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 2.1 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 ($0.12/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
gpt-oss-120b and Laguna XS 2.1 are extremely close in overall performance (only 0.10000000000000142 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
gpt-oss-120b
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-120b
0% lower pricing; better value at scale
Best for Reliability
gpt-oss-120b
Higher uptime and faster response speeds
Best for Prototyping
gpt-oss-120b
Stronger community support and better developer experience
Best for Production
gpt-oss-120b
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | gpt-oss-120b | Laguna XS 2.1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
poolside
gpt-oss-120b saves you $0.0180/month
That's 7% cheaper than Laguna XS 2.1 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 | gpt-oss-120b | Laguna XS 2.1 |
|---|---|---|
| Context Window | 131K | 262K |
| Max Output Tokens | 131,072 | 32,768 |
| Open Source | Yes | Yes |
| Created | Aug 5, 2025 | Jul 2, 2026 |