GPT-4 Turbo Preview vs Llama 3.1 Nemotron 70B Reward
GPT-4 Turbo Preview (2023) and Llama 3.1 Nemotron 70B Reward (2024) are compact production models from OpenAI and NVIDIA AI. GPT-4 Turbo Preview ships a 128k-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.
GPT-4 Turbo Preview fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron 70B Reward for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo Preview | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| Best for | multimodal apps and provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Classification |
| Context window | 128k | 4k |
| Cheapest output | $30/1M tokens | - |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 Turbo Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4 Turbo Preview has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 Turbo Preview uniquely exposes Vision, Structured outputs, and Code execution in local model data.
- Local decision data tags GPT-4 Turbo Preview for Coding, RAG, and Agents.
- 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 Turbo Preview
$15,500
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 Turbo Preview and Llama 3.1 Nemotron 70B Reward; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Structured outputs, and Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Llama 3.1 Nemotron 70B Reward and GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Turbo Preview adds Vision, Structured outputs, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2024-10-01 |
| Context window | 128k | 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 | 2023-12 | - |
Pricing and availability
| Pricing attribute | GPT-4 Turbo Preview | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| Input price | $10/1M tokens | - |
| Output price | $30/1M tokens | - |
| Providers |
Capabilities
| Capability | GPT-4 Turbo Preview | Llama 3.1 Nemotron 70B Reward |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.