| Signal | GPT-5 Image Mini | Delta | Nemotron 3 Super (free) |
|---|---|---|---|
Capabilities | 100 | +17 | |
Pricing | 2 | -28 | |
Context window size | 100 | +14 | |
Recency | 100 | -- | |
Output Capacity | 100 | +10 | |
| Overall Result | 3 wins | of 5 | 1 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
NVIDIA
Nemotron 3 Super (free) saves you $350.00/month
That's $4200.00/year compared to GPT-5 Image Mini at your current usage level of 100K calls/month.
| Metric | GPT-5 Image Mini | Nemotron 3 Super (free) | Winner |
|---|---|---|---|
| Overall Score | 100 | 88 | GPT-5 Image Mini |
| Rank | #1 | #35 | GPT-5 Image Mini |
| Quality Rank | #1 | #35 | GPT-5 Image Mini |
| Adoption Rank | #1 | #35 | GPT-5 Image Mini |
| Parameters | -- | 120B | -- |
| Context Window | 400K | 262K | GPT-5 Image Mini |
| Pricing | $2.50/$2.00/M | Free | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5 Image Mini |
| Pricing | 2 | 30 | Nemotron 3 Super (free) |
| Context window size | 100 | 86 | GPT-5 Image Mini |
| Recency | 100 | 100 | GPT-5 Image Mini |
| Output Capacity | 100 | 90 | GPT-5 Image Mini |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 100/100 (rank #1), placing it in the top 100% of all 290 models tracked.
Scores 88/100 (rank #35), placing it in the top 88% of all 290 models tracked.
GPT-5 Image Mini has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
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. Nemotron 3 Super (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K 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 (100/100) 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-5 Image Mini clearly outperforms Nemotron 3 Super (free) with a significant 11.799999999999997-point lead. For most general use cases, GPT-5 Image Mini is the stronger choice. However, Nemotron 3 Super (free) may still excel in niche scenarios.
Best for Quality
GPT-5 Image Mini
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron 3 Super (free)
100% lower pricing; better value at scale
Best for Reliability
GPT-5 Image Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Image Mini
Stronger community support and better developer experience
Best for Production
GPT-5 Image Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Image Mini | Nemotron 3 Super (free) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Outputdiffers |
OpenAI
NVIDIA
Nemotron 3 Super (free) saves you $6.90/month
That's 100% cheaper than GPT-5 Image Mini 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-5 Image Mini | Nemotron 3 Super (free) |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | 262,144 |
| Open Source | No | Yes |
| Created | Oct 16, 2025 | Mar 11, 2026 |
GPT-5 Image Mini scores 100/100 (rank #1) compared to Nemotron 3 Super (free)'s 88/100 (rank #35), giving it a 12-point advantage. GPT-5 Image Mini is the stronger overall choice, though Nemotron 3 Super (free) may excel in specific areas like cost efficiency.
GPT-5 Image Mini is ranked #1 and Nemotron 3 Super (free) is ranked #35 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Nemotron 3 Super (free) is cheaper at $0.00/M output tokens vs GPT-5 Image Mini's $2.00/M output tokens — 2000.0x more expensive. Input token pricing: GPT-5 Image Mini at $2.50/M vs Nemotron 3 Super (free) at $0.00/M.
GPT-5 Image Mini has a larger context window of 400,000 tokens compared to Nemotron 3 Super (free)'s 262,144 tokens. A larger context window means the model can process longer documents and conversations.