Model comparison
Llama 3.2 1B Instruct vs mistral-7b-instruct-v0.3
Llama 3.2 1B Instruct (Meta) and mistral-7b-instruct-v0.3 (Mistral) 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.
| Llama 3.2 1B Instruct | mistral-7b-instruct-v0.3 | |
|---|---|---|
| Input price per 1M | $0.005 | $0.028 |
| Output price per 1M | $0.010 | $0.054 |
| Context window | 16K tokens | 127K tokens |
| Max output | 4K tokens | 127K tokens |
| Input types | text | text |
| Capabilities | tools | tools, JSON |
| Author | Meta | Mistral |
What a month costs on each
| Workload | Llama 3.2 1B Instruct | mistral-7b-instruct-v0.3 |
|---|---|---|
| Chatbot month (15M in, 4M out) | $0.115 | $0.636 |
| RAG month (40M in, 3M out) | $0.230 | $1.28 |
| Coding month (60M in, 10M out) | $0.400 | $2.22 |
On a typical 75/25 input-output mix, Llama 3.2 1B Instruct costs less (about 82% less than mistral-7b-instruct-v0.3). mistral-7b-instruct-v0.3 takes the longer prompt at 127K 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": "meta-llama/llama-3.2-1b-instruct", "messages": [{"role": "user", "content": "Hello"}]}'
# the other one: change the model string
-d '{"model": "mistralai/mistral-7b-instruct-v0.3", ...}'Common questions
Which is cheaper, Llama 3.2 1B Instruct or mistral-7b-instruct-v0.3?
Llama 3.2 1B Instruct is cheaper on a typical mix of 75% input and 25% output tokens, by about 82%. Through Rapid Router both are billed at the provider list price per million tokens.
Which has the larger context window?
mistral-7b-instruct-v0.3, at 127K tokens. Llama 3.2 1B Instruct offers 16K tokens.
Can I switch between Llama 3.2 1B Instruct and mistral-7b-instruct-v0.3 without changing code?
Yes. Both are callable at https://rapidrouter.ai/api/v1 with the same OpenAI-compatible request; only the model string changes (meta-llama/llama-3.2-1b-instruct or mistralai/mistral-7b-instruct-v0.3).
How do I pay for Llama 3.2 1B Instruct or mistral-7b-instruct-v0.3?
Top up a Rapid Router balance by card in US dollars, and both models debit that balance per request.
More Llama models: Meta API pricing · More Mistral: Mistral API pricing