Llama 2 70B Chat vs text-davinci
Llama 2 70B Chat (2023) and text-davinci (2022) are compact production models from AI at Meta and OpenAI. Llama 2 70B Chat ships a 4k-token context window, while text-davinci 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 2 70B Chat is safer overall; choose text-davinci when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 2 70B Chat | text-davinci |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Classification and JSON / Tool use | General |
| Context window | 4k | 4k |
| Cheapest output | $1.50/1M tokens | - |
| Provider routes | 14 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 2 70B Chat has broader tracked provider coverage for fallback and route flexibility.
- Llama 2 70B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
- Use text-davinci when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 2 70B Chat
$775
Cheapest tracked route/tier: Databricks Foundation Model Serving
text-davinci
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 Llama 2 70B Chat and text-davinci; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for text-davinci and Llama 2 70B Chat; plan for SDK, billing, or endpoint changes.
- Llama 2 70B Chat adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2022-01-27 |
| Context window | 4k | 4k |
| Parameters | 70B | 175B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2021-06 |
Pricing and availability
| Pricing attribute | Llama 2 70B Chat | text-davinci |
|---|---|---|
| Input price | $0.50/1M tokens | - |
| Output price | $1.50/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 2 70B Chat | text-davinci |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | 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: 2026-07-09. Data sourced from public model cards and provider documentation.