DeepSeek Coder V2 Lite
DeepSeek Coder V2 Lite is worth evaluating for coding, long context, and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, long context, and classification
- 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
- Family
- DeepSeek Coder V2
- Released
- 2024-06-17
- Context
- 128k
- Parameters
- 16B
- Architecture
- Mixture of Experts
- Knowledge cutoff
- 2023-11
- Specialization
- code
- Openness
- Open weights
- License
- DeepSeek LicenseCommercial use allowed
- Training
- finetuned
- Fine-tuning
- base
Cheapest of 1 route · Fireworks AI
About
DeepSeek Coder V2 Lite is an open-source Mixture-of-Experts (MoE) language model specifically tailored for efficiency and cost-effectiveness in coding tasks. It operates with a 15.7B parameter count, but only 2.4B are active at any given time, making it comparable to GPT4-Turbo for code-centric applications. This model supports 338 programming languages and has an extended context length of 128K tokens, facilitating the handling of complex codebases and lengthy prompts. Its features encompass code generation, completion, understanding, and mathematical reasoning, making it versatile for diverse coding applications. Available on Hugging Face, Ollama, and other platforms, DeepSeek Coder V2 Lite offers accessible solutions for developers and researchers, with performance that rivals or surpasses some closed-source models.
DeepSeek Coder V2 Lite is an open-weight model in the DeepSeek Coder V2 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 $0.5 input and $0.5 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 52.4, HellaSwag 91.4, and HumanEval 81.1.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ B1 relevant benchmark in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Classification
Q/$ C2 relevant benchmarks 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 |
|---|---|---|---|
| Fireworks AI | $0.500 | $0.500 | ServerlessProvisioned |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 52.4 | diamond | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HellaSwag | 91.4 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 81.1 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 78.9 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(1)
Comparison and alternatives
Browse all comparisons →Cheapest of 1 route · Fireworks AI