| Signal | GPT-4o-mini (2024-07-18) | Delta | gpt-oss-20b |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 56 | 0 | |
Pricing | 1 | +1 | |
Context window size | 81 | 0 | |
Recency | 19 | -70 | |
Output Capacity | 70 | -15 | |
| Overall Result | 1 wins | of 6 | 4 wins |
7
days higher
6
days
17
days higher
OpenAI
OpenAI
gpt-oss-20b saves you $36.50/month
That's $438.00/year compared to GPT-4o-mini (2024-07-18) at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini (2024-07-18) | gpt-oss-20b | Winner |
|---|---|---|---|
| Overall Score | 57 | 58 | gpt-oss-20b |
| Rank | #104 | #103 | gpt-oss-20b |
| Quality Rank | #104 | #103 | gpt-oss-20b |
| Adoption Rank | #104 | #103 | gpt-oss-20b |
| Parameters | -- | 20B | -- |
| Context Window | 128K | 131K | gpt-oss-20b |
| Pricing | $0.15/$0.60/M | $0.03/$0.11/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | GPT-4o-mini (2024-07-18) |
| Benchmarks | 56 | 56 | gpt-oss-20b |
| Pricing | 1 | 0 | GPT-4o-mini (2024-07-18) |
| Context window size | 81 | 81 | gpt-oss-20b |
| Recency | 19 | 89 | gpt-oss-20b |
| Output Capacity | 70 | 85 | gpt-oss-20b |
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%). Here's what the scores mean for these two models:
Scores 57/100 (rank #104), placing it in the top 64% of all 290 models tracked.
Scores 58/100 (rank #103), placing it in the top 65% 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.
gpt-oss-20b offers 81% better value per quality point. At 1M tokens/day, you'd spend $2.10/month with gpt-oss-20b vs $11.25/month with GPT-4o-mini (2024-07-18) - a $9.15 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
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-20b 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 ($0.11/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (58/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-4o-mini (2024-07-18) and gpt-oss-20b are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini (2024-07-18)
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-20b
81% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini (2024-07-18)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini (2024-07-18)
Stronger community support and better developer experience
Best for Production
GPT-4o-mini (2024-07-18)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini (2024-07-18) | gpt-oss-20b |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
gpt-oss-20b saves you $0.8040/month
That's 81% cheaper than GPT-4o-mini (2024-07-18) 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-4o-mini (2024-07-18) | gpt-oss-20b |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | 131,072 |
| Open Source | No | Yes |
| Created | Jul 18, 2024 | Aug 5, 2025 |
gpt-oss-20b scores 58/100 (rank #103) compared to GPT-4o-mini (2024-07-18)'s 57/100 (rank #104), giving it a 0-point advantage. gpt-oss-20b is the stronger overall choice, though GPT-4o-mini (2024-07-18) may excel in specific areas like certain benchmarks.
GPT-4o-mini (2024-07-18) is ranked #104 and gpt-oss-20b is ranked #103 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-20b is cheaper at $0.11/M output tokens vs GPT-4o-mini (2024-07-18)'s $0.60/M output tokens - 5.5x more expensive. Input token pricing: GPT-4o-mini (2024-07-18) at $0.15/M vs gpt-oss-20b at $0.03/M.
gpt-oss-20b has a larger context window of 131,072 tokens compared to GPT-4o-mini (2024-07-18)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.