OpenAI (67 models) vs NVIDIA (9 models) - compared across composite scores, pricing, capabilities, and context windows.
| Capability | OpenAI | NVIDIA | Leader |
|---|---|---|---|
Vision | 45/67 | 2/9 | OpenAI |
Reasoning | 37/67 | 9/9 | OpenAI |
Function Calling | 57/67 | 9/9 | OpenAI |
JSON Mode | 63/67 | 6/9 | OpenAI |
Web Search | 28/67 | 0/9 | OpenAI |
Streaming | 65/67 | 9/9 | OpenAI |
Image Output | 4/67 | 0/9 | OpenAI |
| Metric | OpenAI | NVIDIA |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.030 gpt-oss-20b | $0.040 Nemotron Nano 9B V2 |
| Cheapest Output (per 1M tokens) | $0.140 | $0.160 |
| Most Expensive Input (per 1M tokens) | $150.00 o1-pro | $0.100 Nemotron 3 Super |
| Most Expensive Output (per 1M tokens) | $600.00 | $0.450 |
| Free Models | 2 | 5 |
| Max Context Window | 1.1M | 262K |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| GPT-5.4 Pro | 92 | $30.00 | $180.00 |
| GPT-5.4 | 92 | $2.50 | $15.00 |
| GPT-5.2 Pro | 91 | $21.00 | $168.00 |
| GPT-5.2-Codex | 90 | $1.75 | $14.00 |
| GPT-5.2 | 90 | $1.75 | $14.00 |
| GPT-5.3-Codex | 89 | $1.75 | $14.00 |
| GPT-5 Pro | 89 | $15.00 | $120.00 |
| GPT-5.1-Codex-Max | 88 | $1.25 | $10.00 |
| GPT-5 Codex | 88 | $1.25 | $10.00 |
| GPT-5 | 88 | $1.25 | $10.00 |
| GPT-5.3 Chat | 87 | $1.75 | $14.00 |
| GPT-5.1 | 87 | $1.25 | $10.00 |
| GPT-5.1-Codex | 87 | $1.25 | $10.00 |
| GPT-5.1-Codex-Mini | 87 | $0.250 | $2.00 |
| o3 Deep Research | 87 | $10.00 | $40.00 |
| o3 Pro | 87 | $20.00 | $80.00 |
| o3 | 87 | $2.00 | $8.00 |
| GPT-5.1 Chat | 87 | $1.25 | $10.00 |
| o4 Mini Deep Research | 81 | $2.00 | $8.00 |
| o4 Mini | 81 | $1.10 | $4.40 |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Llama 3.3 Nemotron Super 49B V1.5 | 61 | $0.100 | $0.400 |
| Nemotron 3 Nano Omni (free) | 40 | Free | Free |
| Nemotron 3 Super (free) | 40 | Free | Free |
| Nemotron 3 Super | 40 | $0.090 | $0.450 |
| Nemotron 3 Nano 30B A3B (free) | 40 | Free | Free |
| Nemotron 3 Nano 30B A3B | 40 | $0.050 | $0.200 |
| Nemotron Nano 12B 2 VL (free) | 40 | Free | Free |
| Nemotron Nano 9B V2 (free) | 40 | Free | Free |
| Nemotron Nano 9B V2 | 40 | $0.040 | $0.160 |
Compare any two AI providers side-by-side.
OpenAI prioritizes flagship model development over portfolio breadth, with 89% of their models scoring below 50/100 while investing heavily in GPT-5.4's capabilities. NVIDIA's focus on open-source inference optimization (11/11 models open) trades raw performance for deployment flexibility, explaining why their Nemotron 3 Nano 30B A3B tops out 22 points lower despite being their best offering.
NVIDIA's all-open strategy enables self-hosting at scale, potentially saving millions compared to OpenAI's $0.110-$600/M token range, though you sacrifice 22 points of peak performance. With 4 free models versus OpenAI's 2, NVIDIA offers more experimentation options, but their $0.160 minimum paid tier starts 45% higher than OpenAI's cheapest option.
OpenAI's extensive vision coverage reflects their consumer and creative AI focus, while NVIDIA's 91% reasoning coverage (10/11 models) targets enterprise decision-making and analytical workloads. NVIDIA completely lacks web search capabilities (0/11) compared to OpenAI's 48% coverage (31/64), suggesting NVIDIA optimizes for offline, compute-intensive tasks rather than real-time information retrieval.
OpenAI's 4.2x larger context window comes at a premium, with their high-context models clustering in the $15-$600/M range, while NVIDIA's 262K limit keeps all models under $1.80/M. For documents under 262K tokens, NVIDIA's open-source approach allows unlimited parallel processing without API costs, making them more economical for batch operations despite the context limitation.
Despite having 53 fewer models, NVIDIA achieves near-parity in function calling coverage (9/11 vs 57/64), demonstrating focused feature development. OpenAI's broader 89% coverage includes more specialized implementations across their 64-model range, but NVIDIA's 82% coverage in just 11 models suggests better feature consistency for developers building tool-calling applications.
OpenAI's 5,454x price range reflects a segmented strategy from commodity models to premium GPT-5.4, while NVIDIA's 11x range focuses on the mid-market inference segment. NVIDIA's narrow pricing band and 100% open-source availability targets cost-conscious enterprises willing to manage infrastructure, contrasting with OpenAI's API-first model that charges premium rates for convenience and cutting-edge performance.