Compare AI models
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 70B | 32B |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.66Cloudflare |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $1.00Cloudflare |
| Overview | ||
| Company | NVIDIA | Qwen |
| Release date | Oct 15 2024 | Nov 12 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Llama 3.1 Nemotron 70BvsClaude Haiku 5.5Qwen2.5-CodervsClaude Haiku 5.5Llama 3.1 Nemotron 70BvsGPT-6.1 SolQwen2.5-CodervsGPT-6.1 SolLlama 3.1 Nemotron 70BvsGemini 4 ArgonQwen2.5-CodervsGemini 4 ArgonLlama 3.1 Nemotron 70BvsMuse Spark 1.3Qwen2.5-CodervsMuse Spark 1.3Llama 3.1 Nemotron 70BvsGrok 4.7Qwen2.5-CodervsGrok 4.7Llama 3.1 Nemotron 70BvsDeepSeek-V4.1-FlashQwen2.5-CodervsDeepSeek-V4.1-FlashFrequently asked questions
Llama 3.1 Nemotron 70B and Qwen2.5-Coder don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Llama 3.1 Nemotron 70B shipped 28 days before Qwen2.5-Coder, so benchmark comparisons should account for the intervening progress.
Llama 3.1 Nemotron 70B has 70B parameters, while Qwen2.5-Coder has 32B.
Direct benchmark comparisons are unavailable — Llama 3.1 Nemotron 70B and Qwen2.5-Coder don't publish scores on any of the same benchmarks.