GPT-4 vs Llama 3.1 Nemotron 70B Reward
GPT-4 (2023) and Llama 3.1 Nemotron 70B Reward (2024) are compact production models from OpenAI and NVIDIA AI. GPT-4 ships a 8k-token context window, while Llama 3.1 Nemotron 70B Reward ships a 4k-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 3.1 Nemotron 70B Reward is safer overall; choose GPT-4 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-4 | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | Coding, Agents, and Vision | Classification |
| Context window | 8k | 4k |
| Cheapest output | $60/1M tokens | - |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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.
- Local decision data tags Llama 3.1 Nemotron 70B Reward for Classification.
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 3.1 Nemotron 70B Reward
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 3.1 Nemotron 70B Reward; 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 3.1 Nemotron 70B Reward 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 | 2024-10-01 |
| Context window | 8k | 4k |
| Parameters | 1.76T (8x222B MoE)* | 70B |
| 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 3.1 Nemotron 70B Reward |
|---|---|---|
| Input price | $30/1M tokens | - |
| Output price | $60/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| 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
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.