DeepSeek-V4-Flash vs Llama 3.1 70B
Side-by-side comparison of pricing and capabilities
DeepSeek-V4-Flash
Llama 3.1 70B
Input Price Comparison
| Attribute | DeepSeek-V4-Flash | Llama 3.1 70B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Input Price | $0.14 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.28 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.028 /1M tokens | $0.023 /1M tokens |
| Context Window | 128K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | DeepSeek-V4-Flash | Llama 3.1 70B |
|---|---|---|
| coding | ||
| reasoning | ||
| multilingual |
Which should you choose?
Budget-conscious: DeepSeek-V4-Flash is 39% cheaper on input tokens ($0.14 vs $0.23 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: DeepSeek-V4-Flash supports 3 capabilities (coding, reasoning, multilingual), while Llama 3.1 70B supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: DeepSeek-V4-Flash or Llama 3.1 70B?
DeepSeek-V4-Flash costs $0.14/1M input vs Llama 3.1 70B at $0.23/1M input. DeepSeek-V4-Flash is 39% cheaper on input tokens.
How do output prices compare between DeepSeek-V4-Flash and Llama 3.1 70B?
DeepSeek-V4-Flash output: $0.28/1M, Llama 3.1 70B output: $0.4/1M. DeepSeek-V4-Flash is more economical for generation-heavy workloads.
What is DeepSeek-V4-Flash best used for?
DeepSeek-V4-Flash is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Llama 3.1 70B best used for?
Llama 3.1 70B is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.