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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 is 8% cheaper than Qwen3 235B A22B Thinking 2507 FP8
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 is 8% cheaper
| Spec | NVIDIA: Llama 3.1 Nemotron Ultra 253B v1 | Qwen3 235B A22B Thinking 2507 FP8 |
|---|---|---|
| Provider | nvidia | qwen |
| Input price / 1M tokens | $0.60 | $0.65 |
| Output price / 1M tokens | $1.80 | $3.00 |
| Context window | 131k tokens | 262k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) optimized for advanced reasoning, human-interactive chat, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta’s Llama-3.1-405B-Instruct, it has been significantly customized using Neural...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
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