DeepSeek Math 7B
DeepSeek Math 7B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- DeepSeek Math
- Released
- 2024-02-05
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- math
- Openness
- Open weights
- License
- DeepSeek LicenseCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · Replicate API
About
DeepSeek Math 7B is a powerful family of large language models by DeepSeek AI, crafted for advanced mathematical reasoning. The base model begins as DeepSeek-Coder-v1.5 7B, further pre-trained with 500 billion tokens, encompassing math-focused and general data sources. This model attains a 51.7% score on the MATH benchmark, demonstrating competitive prowess without external aids. Enhanced by instruction tuning, DeepSeekMath-Instruct 7B boosts its mathematical expertise. The DeepSeekMath-RL 7B model, further refined by a novel Group Relative Policy Optimization algorithm, capitalizes on reinforcement learning for superior performance.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
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 |
|---|---|---|---|
| Replicate API | $0.050 | $0.250 | 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.
Cheapest of 1 route · Replicate API