Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) vs Gemini 3 Pro Preview (high)
Comparing 2 AI models · 6 benchmarks · NVIDIA, Google
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Winners
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
- MATH 500
Gemini 3 Pro Preview (high)
- GPQA
- MMLU Pro
- HLE
- LiveCodeBench
- AIME 2025
| Metric | NV Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) | Go Gemini 3 Pro Preview (high) |
|---|---|---|
| Pricing Per 1M tokens | ||
| Input Cost | $0.60/1M | $2.00/1M |
| Output Cost | $1.80/1M | $12.00/1M |
| Blended Cost 3:1 input/output ratio | $0.90/1M | $4.50/1M |
| Specifications | ||
| Organization Model creator | NVIDIA | |
| Release Date Launch date | Apr 7, 2025 | Nov 18, 2025 |
| Performance & Speed | ||
| Throughput Output speed | 38.6 tok/s | 138.9 tok/s |
| Time to First Token (TTFT) Initial response delay | 733ms | 26684ms |
| Latency Time to first answer token | 52528ms | 26684ms |
| Composite Indices | ||
| Intelligence Index Overall reasoning capability | 38.5 | 72.8 |
| Coding Index Programming ability | 33.7 | 62.3 |
| Math Index Mathematical reasoning | 63.7 | 95.7 |
| Standard Benchmarks | ||
| GPQA Graduate-level reasoning | 72.8% | 90.8% |
| MMLU Pro Advanced knowledge | 82.5% | 89.8% |
| HLE Hard language evaluation | 8.1% | 37.2% |
| LiveCodeBench Real-world coding tasks | 64.1% | 91.7% |
| MATH 500 Mathematical problems | 95.2% | — |
| AIME 2025 Advanced math competition | 63.7% | 95.7% |
| AIME (Original) Math olympiad problems | 74.7% | — |
| SciCode Scientific code generation | 34.7% | 56.1% |
| LCR Code review capability | 7.3% | 70.7% |
| IFBench Instruction-following | 38.2% | 70.4% |
| TAU-bench v2 Tool use & agentic tasks | 11.4% | 87.1% |
| TerminalBench Hard CLI command generation | 2.1% | 39.0% |
Key Takeaways
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) offers the best value at $0.60/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 3 Pro Preview (high) leads in reasoning capabilities with a 90.8% GPQA score, excelling at complex analytical tasks and problem-solving.
Gemini 3 Pro Preview (high) achieves a 62.3 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
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning)
- Cost-sensitive applications
- High-volume processing
Gemini 3 Pro Preview (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Try Models for Free
Try Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) for FREE
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Cost Calculator
Llama 3.1 Nemotron Ultra 253B v1 (Reasoning) Gemini 3 Pro Preview (high) Costs are estimates based on API pricing. Actual costs may vary based on caching, batch processing, and volume discounts.
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