DeepInfra CodeLlama 70B Instruct
DeepInfra CodeLlama 70B Instruct is worth evaluating for classification and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating classification and json / tool use
- Workloads that can use a 100k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Family
- Code Llama
- Released
- 2023-07-18
- Context
- 100k
- Parameters
- 70B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2022-09
- Specialization
- general
- Openness
- Open weights
- License
- Llama 2 CommunityCommercial use: conditional
Large-scale open-source AI for social technologies.
Cheapest of 1 route · DeepInfra
About
DeepInfra CodeLlama 70B Instruct is Meta's Code Llama model. It offers a 100K-token context window with weights openly available for self-hosting.
DeepInfra CodeLlama 70B Instruct is an open-weight model in the Code Llama family. The structured metadata tracks a 100k-token context window and structured outputs. This page tracks provider routes through DeepInfra, with the cheapest tracked route listed at $0.45 input and $0.65 output per 1M tokens. No headline benchmark score is tracked for DeepInfra CodeLlama 70B Instruct yet.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| DeepInfra | $0.450 | $0.650 | Serverless |
Capabilities
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Large-scale open-source AI for social technologies.
Cheapest of 1 route · DeepInfra