Model comparison
DeepSeek V4 Flash 0731 vs Llama 3.2 1B Instruct
DeepSeek V4 Flash 0731 (DeepSeek) and Llama 3.2 1B Instruct (Meta) side by side: what each costs per million tokens through Rapid Router, how much context each takes, what each supports, and where independent benchmarks place them. Same API, same key; switching is a one-string change.
| DeepSeek V4 Flash 0731 | Llama 3.2 1B Instruct | |
|---|---|---|
| Input price per 1M | $0.060 | $0.005 |
| Output price per 1M | $0.180 | $0.010 |
| Context window | 1M tokens | 16K tokens |
| Max output | 944K tokens | 4K tokens |
| Input types | text | text |
| Capabilities | tools, JSON, reasoning | tools |
| Author | DeepSeek | Meta |
What a month costs on each
| Workload | DeepSeek V4 Flash 0731 | Llama 3.2 1B Instruct |
|---|---|---|
| Chatbot month (15M in, 4M out) | $1.62 | $0.115 |
| RAG month (40M in, 3M out) | $2.94 | $0.230 |
| Coding month (60M in, 10M out) | $5.40 | $0.400 |
On a typical 75/25 input-output mix, Llama 3.2 1B Instruct costs less (about 93% less than DeepSeek V4 Flash 0731). DeepSeek V4 Flash 0731 takes the longer prompt at 1M tokens. Try your own numbers in the cost calculator.
Call either one
curl https://rapidrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $RAPIDROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek/deepseek-v4-flash-0731", "messages": [{"role": "user", "content": "Hello"}]}'
# the other one: change the model string
-d '{"model": "meta-llama/llama-3.2-1b-instruct", ...}'Common questions
Which is cheaper, DeepSeek V4 Flash 0731 or Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct is cheaper on a typical mix of 75% input and 25% output tokens, by about 93%. Through Rapid Router both are billed at the provider list price per million tokens.
Which has the larger context window?
DeepSeek V4 Flash 0731, at 1M tokens. Llama 3.2 1B Instruct offers 16K tokens.
Can I switch between DeepSeek V4 Flash 0731 and Llama 3.2 1B Instruct without changing code?
Yes. Both are callable at https://rapidrouter.ai/api/v1 with the same OpenAI-compatible request; only the model string changes (deepseek/deepseek-v4-flash-0731 or meta-llama/llama-3.2-1b-instruct).
How do I pay for DeepSeek V4 Flash 0731 or Llama 3.2 1B Instruct?
Top up a Rapid Router balance by card in US dollars, and both models debit that balance per request.
More DeepSeek models: DeepSeek API pricing · More Llama: Meta API pricing