Side-by-side analysis of Deepseek Deepseek V3 1 Terminus, Nvidia Llama 3 3 Nemotron Super 49b V1 5 across performance, benchmarks, capabilities, and infrastructure requirements.
Source: inferbase.ai
Side-by-side analysis of Deepseek Deepseek V3 1 Terminus, Nvidia Llama 3 3 Nemotron Super 49b V1 5 across performance, benchmarks, capabilities, and infrastructure requirements.
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes.
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and multi-turn chat, followed by multiple RL stages; Reward-aware Preference Optimization (RPO) for alignment, RL with Verifiable Rewards (RLVR) for step-wise reasoning, and iterative DPO to refine tool-use behavior.
| Specification | DeepSeek V3.1 Terminus | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Provider | DeepSeek | NVIDIA |
| Parameters | 671B | 49B |
| Context window | 164K | 131K |
| Max output | — | — |
| Input modalities | text | text |
| Output modalities | text | text |
| License | mit | other |
| Model type | chat | chat |
| Capability | DeepSeek V3.1 Terminus | Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| code_generation | Yes | — |
| function_calling | Yes | Yes |
| json_mode | Yes | Yes |
| reasoning | Yes | Yes |
| streaming | Yes | Yes |
| text_generation | Yes | Yes |
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