CodeLlama 34B Python
CodeLlama 34B Python 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 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Code Llama
- Released
- 2023-08-24
- Context
- 100k
- Parameters
- 34B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024-03
- Specialization
- general
- Openness
- Open weights
- License
- Llama 2 CommunityCommercial use with conditions
- Training
- finetuned
Large-scale open-source AI for social technologies.
Cheapest of 4 routes · Together AI
About
CodeLlama 34B Python is a specialized code generation model released by Meta on August 24, 2023. With 34 billion parameters, it excels in Python-specific tasks like code completion, infilling, and instruction following. This model offers AI engineers a powerful tool for enhancing coding workflows and productivity. Its architecture is optimized for understanding and generating complex code structures, making it particularly useful for software development tasks. The model is available in the Hugging Face Transformers format, facilitating easy integration into existing projects .
CodeLlama 34B Python 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 Together AI, Fireworks AI, Microsoft Foundry, and 1 more, with the cheapest tracked route listed at $0.2 input and $1 output per 1M tokens. No headline benchmark score is tracked for CodeLlama 34B Python 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 all 4Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Together AI | $0.800 | $0.800 | Serverless |
| Fireworks AI | $0.900 | $0.900 | Provisioned |
| Replicate API | $0.200 | $1.00 | Serverless |
| Microsoft Foundry | $1.54 | $1.77 | Provisioned |
Available via routers & gateways(6)
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
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 4 routes · Together AI