Qwen2.5-Coder-7B-Instruct
Qwen2.5-Coder-7B-Instruct is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and long context
- Workloads that can use a 128k context window
- Buyers comparing 3 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Qwen2.5-Coder
- Released
- 2024-09-19
- Context
- 128k
- Parameters
- 7.61B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024-02
- Specialization
- code
- Training
- finetuned
- Fine-tuning
- instruct
Cheapest of 3 routes · Fireworks AI
About
Instruction-optimized 7B coder matching GPT-4o on code generation and excelling in infilling and cross-file reasoning tasks.
Qwen2.5-Coder-7B-Instruct is a model in the Qwen2.5-Coder family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through OpenRouter, Fireworks AI, and NVIDIA NIM, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for Qwen2.5-Coder-7B-Instruct yet.
Top use-case fit: coding, agents, and build tasks
Coding
Included by capability and metadata signals in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 3Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.200 | $0.200 | Serverless |
| NVIDIA NIM | - | - | ServerlessPartial |
| OpenRouter | - | - | ServerlessPartial |
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.