LLM Reference

DeepSeek Coder 7B V1.5 Instruct

Released
2024-02-04
Last refreshed
2026-05-19
Status
Researched 16d ago
Open SourceCoding

DeepSeek Coder 7B V1.5 Instruct has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating coding
  • Workloads that can use a 16k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-02-04
Context
16k
Parameters
7B
Architecture
Decoder Only
Knowledge cutoff
2023-03
Specialization
code
Training
finetuned
Fine-tuning
instruct
Created by

Advancing artificial general intelligence (AGI).

Hangzhou, Zhejiang, China
Founded 2023
Website
Pricing

No tracked provider token pricing is available yet.

About

DeepSeek Coder 7B V1.5 Instruct is DeepSeek's DeepSeek Coder model focused on code generation and software engineering. Weights are openly available for self-hosting.

DeepSeek Coder 7B V1.5 Instruct is an open-source model in the DeepSeek Coder family. The structured metadata tracks a 16k-token context window. No headline benchmark score is tracked for DeepSeek Coder 7B V1.5 Instruct yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

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.

Rankings & picks(6)