LLM Reference

Qwen2.5-Coder-14B-Instruct

Released
2024-11-12
Last refreshed
2026-05-19
Status
Researched 16d ago
CodingLong context

Qwen2.5-Coder-14B-Instruct is worth evaluating for coding and long context when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding and long context
  • Workloads that can use a 128k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-11-12
Context
128k
Parameters
14B
Architecture
Decoder Only
Knowledge cutoff
2024-02
Specialization
code
Training
finetuned
Fine-tuning
instruct
Created by

AI research institute of Alibaba Group.

Hangzhou, Zhejiang, China
Founded 2017
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 1 route · Fireworks AI

About

Instruction-tuned 14B coder for enterprise development tools requiring advanced reasoning and cross-language compatibility.

Qwen2.5-Coder-14B-Instruct is a model in the Qwen2.5-Coder family. The structured metadata tracks a 128k-token context window. This page tracks provider routes through Fireworks AI, 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-14B-Instruct yet.

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

Coding

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 API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.200$0.200
Serverless

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)