Model Comparison
GPT-5 (ChatGPT)
vs. Nemotron 3 Nano 30B A3B (Reasoning)
Comparing 2 AI models · 10 benchmarks · OpenAI, NVIDIA
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
Nemotron 3 Nano 30B A3B (Reasoning)
100.0 value score
58.4 reasoning / $0.10/1M
Lowest Price
Nemotron 3 Nano 30B A3B (Reasoning)
$0.06/1M input price
Best Reasoning
Nemotron 3 Nano 30B A3B (Reasoning)
58.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5 (ChatGPT)
21.2 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Nemotron 3 Nano 30B A3B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Nemotron 3 Nano 30B A3B (Reasoning) is 22.7x cheaper on input tokens than GPT-5 (ChatGPT).
Speed gap
GPT-5 (ChatGPT) generates about 1.4x as many tokens per second as Nemotron 3 Nano 30B A3B (Reasoning).
Reasoning gap
Nemotron 3 Nano 30B A3B (Reasoning) leads GPT-5 (ChatGPT) by 19.9 points on reasoning.
Coding gap
GPT-5 (ChatGPT) leads Nemotron 3 Nano 30B A3B (Reasoning) by 2.2 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-5 (ChatGPT)
OpenAI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Nemotron 3 Nano 30B A3B (Reasoning)
NVIDIA
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Op GPT-5 (ChatGPT) | Top Pick NV Nemotron 3 Nano 30B A3B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.06/1M |
| Output Cost | $10.00/1M | $0.22/1M |
| Blended (3:1) | $3.44/1M | $0.10/1M |
| Specifications | ||
| Organization | OpenAI | NVIDIA |
| Release Date | Aug 7, 2025 | Dec 15, 2025 |
| Performance & Speed | ||
| Throughput | 176.4 tok/s | 124.1 tok/s |
| TTFT | 548ms | 1193ms |
| Latency | 548ms | 17313ms |
| Composite Indices | ||
| Value Score | 1.8 | 100.0 |
| Reasoning Score | 38.6 | 58.4 |
| Intelligence | 21.8 | 24.3 |
| Coding | 21.2 | 19.0 |
| Math | 48.3 | 91.0 |
| Standard Benchmarks | ||
| GPQA | 68.6% | 75.7% |
| MMLU Pro | 82.0% | 79.4% |
| HLE | 5.8% | 10.2% |
| LiveCodeBench | 54.3% | 74.1% |
| AIME 2025 | 48.3% | 91.0% |
| SciCode | 37.8% | 29.6% |
| LCR | 63.7% | 33.7% |
| IFBench | 45.0% | 71.1% |
| TAU-bench v2 | 0.0% | 40.9% |
| TerminalBench Hard | 12.9% | 13.6% |
Key Takeaways
Nemotron 3 Nano 30B A3B (Reasoning) offers the best value at $0.06/1M, making it ideal for high-volume applications and cost-conscious projects.
Nemotron 3 Nano 30B A3B (Reasoning) has the strongest reasoning profile with a 58.4 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5 (ChatGPT) reaches a 21.2 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
GPT-5 (ChatGPT)
- Code generation
- Software development
Nemotron 3 Nano 30B A3B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis