Model Comparison
GPT-4o mini
vs. Nemotron 3 Super 120B A12B (Reasoning)
Comparing 2 AI models · 12 benchmarks · OpenAI, NVIDIA
Recommended Pick
NV Nemotron 3 Super 120B A12B (Reasoning) 8 metric wins Strongest on: Value, Throughput, Reasoning
Best Value
Nemotron 3 Super 120B A12B (Reasoning)
100.0 value score
45.1 reasoning / $0.41/1M
Lowest Price
GPT-4o mini
$0.15/1M input price
Best Reasoning
Nemotron 3 Super 120B A12B (Reasoning)
45.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Nemotron 3 Super 120B A12B (Reasoning)
31.2 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 Super 120B A12B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GPT-4o mini is 2.0x cheaper on input tokens than Nemotron 3 Super 120B A12B (Reasoning).
Speed gap
Nemotron 3 Super 120B A12B (Reasoning) generates about 2.2x as many tokens per second as GPT-4o mini.
Reasoning gap
Nemotron 3 Super 120B A12B (Reasoning) leads GPT-4o mini by 19.5 points on reasoning.
Top-pick rationale
Nemotron 3 Super 120B A12B (Reasoning) wins 8 measurable categories, including Value, Throughput, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4o mini
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 Super 120B A12B (Reasoning)
NVIDIA
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Op GPT-4o mini | Top Pick NV Nemotron 3 Super 120B A12B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.30/1M |
| Output Cost | $0.60/1M | $0.75/1M |
| Blended (3:1) | $0.26/1M | $0.41/1M |
| Specifications | ||
| Organization | OpenAI | NVIDIA |
| Release Date | Jul 18, 2024 | Mar 11, 2026 |
| Performance & Speed | ||
| Throughput | 72.1 tok/s | 155.1 tok/s |
| TTFT | 588ms | 1050ms |
| Latency | 588ms | 13946ms |
| Composite Indices | ||
| Value Score | 89.2 | 100.0 |
| Reasoning Score | 25.6 | 45.1 |
| Intelligence | 12.6 | 36.0 |
| Coding | — | 31.2 |
| Math | 14.7 | — |
| Standard Benchmarks | ||
| GPQA | 42.6% | 80.0% |
| MMLU Pro | 64.8% | — |
| HLE | 4.0% | 19.2% |
| LiveCodeBench | 23.4% | — |
| MATH 500 | 78.9% | — |
| AIME 2025 | 14.7% | — |
| AIME (Original) | 11.7% | — |
| SciCode | 22.9% | 36.0% |
| LCR | — | 60.0% |
| IFBench | 31.0% | 71.5% |
| TAU-bench v2 | — | 67.8% |
| TerminalBench Hard | — | 28.8% |
Key Takeaways
GPT-4o mini offers the best value at $0.15/1M, making it ideal for high-volume applications and cost-conscious projects.
Nemotron 3 Super 120B A12B (Reasoning) has the strongest reasoning profile with a 45.1 reasoning score, combining the available reasoning-heavy benchmarks.
Nemotron 3 Super 120B A12B (Reasoning) reaches a 31.2 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-4o mini
- Cost-sensitive applications
- High-volume processing
Nemotron 3 Super 120B A12B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
