GPT-4 vs Llama 3.3 Nemotron Super 49B v1
GPT-4 (2023) and Llama 3.3 Nemotron Super 49B v1 (2025) are compact production models from OpenAI and NVIDIA AI. GPT-4 ships a 8k-token context window, while Llama 3.3 Nemotron Super 49B v1 ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Llama 3.3 Nemotron Super 49B v1 fits 16x more tokens; pick it for long-context work and GPT-4 for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4 | Llama 3.3 Nemotron Super 49B v1 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | Coding, Agents, and Vision | Long context |
| Context window | 8k | 128k |
| Cheapest output | $60/1M tokens | - |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags GPT-4 for Coding, Agents, and Vision.
- Llama 3.3 Nemotron Super 49B v1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Llama 3.3 Nemotron Super 49B v1 for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4
$39,000
Cheapest tracked route/tier: OpenAI API
Llama 3.3 Nemotron Super 49B v1
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 and Llama 3.3 Nemotron Super 49B v1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.3 Nemotron Super 49B v1 and GPT-4; plan for SDK, billing, or endpoint changes.
- GPT-4 adds Vision, Multimodal, and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-03-14 | 2025-06-01 |
| Context window | 8k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 49B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2021-09 | - |
Pricing and availability
| Pricing attribute | GPT-4 | Llama 3.3 Nemotron Super 49B v1 |
|---|---|---|
| Input price | $30/1M tokens | - |
| Output price | $60/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 | Llama 3.3 Nemotron Super 49B v1 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
Popular comparisons for GPT-4
Popular comparisons for Llama 3.3 Nemotron Super 49B v1
- Llama 3.3 Nemotron Super 49B v1 vs Hunyuan Hy3 Preview
- Llama 3.3 Nemotron Super 49B v1 vs Nemotron Mini 4B Instruct
- Llama 3.3 Nemotron Super 49B v1 vs Llama 3 Swallow 70B Instruct
- Llama 3.3 Nemotron Super 49B v1 vs Llama 3 Taiwan 70B Instruct
- Llama 3.3 Nemotron Super 49B v1 vs Llama 3.1 NemoGuard 8B Content Safety
- Llama 3.3 Nemotron Super 49B v1 vs Xiaomi MiMo-V2.5-Pro
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.