| Signal | gpt-oss-120b (free) | Delta | SWE-1.5 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 46 | +46 | |
Pricing | 100 | -- | |
Context window size | 81 | +81 | |
Recency | 88 | -5 | |
Output Capacity | 85 | +65 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
39.7
current score
SWE-1.5
right now
40
current score
OpenAI
Windsurf
| Metric | gpt-oss-120b (free) | SWE-1.5 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | SWE-1.5 |
| Rank | #292 | #291 | SWE-1.5 |
| Quality Rank | #292 | #291 | SWE-1.5 |
| Adoption Rank | #292 | #291 | SWE-1.5 |
| Parameters | 120B | -- | -- |
| Context Window | 131K | -- | -- |
| Pricing | Free | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | gpt-oss-120b (free) |
| Benchmarks | 46 | -- | gpt-oss-120b (free) |
| Pricing | 100 | 100 | gpt-oss-120b (free) |
| Context window size | 81 | 0 | gpt-oss-120b (free) |
| Recency | 88 | 93 | SWE-1.5 |
| Output Capacity | 85 | 20 | gpt-oss-120b (free) |
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 #292), placing it in the top 0% of all 290 models tracked.
Scores 40/100 (rank #291), placing it in the top 0% 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. gpt-oss-120b (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/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 (free) and SWE-1.5 are extremely close in overall performance (only 0.29999999999999716 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
gpt-oss-120b (free)
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-120b (free)
0% lower pricing; better value at scale
Best for Reliability
gpt-oss-120b (free)
Higher uptime and faster response speeds
Best for Prototyping
gpt-oss-120b (free)
Stronger community support and better developer experience
Best for Production
gpt-oss-120b (free)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | gpt-oss-120b (free) | SWE-1.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Windsurf
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | gpt-oss-120b (free) | SWE-1.5 |
|---|---|---|
| Context Window | 131K | -- |
| Max Output Tokens | 131,072 | -- |
| Open Source | Yes | No |
| Created | Aug 5, 2025 | Sep 1, 2025 |
SWE-1.5 scores 40/100 (rank #291) compared to gpt-oss-120b (free)'s 40/100 (rank #292), giving it a 0-point advantage. SWE-1.5 is the stronger overall choice, though gpt-oss-120b (free) may excel in specific areas like certain benchmarks.
gpt-oss-120b (free) is ranked #292 and SWE-1.5 is ranked #291 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
gpt-oss-120b (free) is cheaper at $0.00/M output tokens vs SWE-1.5's $0.00/M output tokens - a significant difference. Input token pricing: gpt-oss-120b (free) at $0.00/M vs SWE-1.5 at $0.00/M.
Context window information is available on the individual model pages.