Model comparison
DeepSeek V4 Pro vs Llama 4 Scout 17B
DeepSeek V4 Pro (DeepSeek) and Llama 4 Scout 17B (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 Pro | Llama 4 Scout 17B | |
|---|---|---|
| Input price per 1M | $1.30 | $0.100 |
| Output price per 1M | $2.60 | $0.300 |
| Context window | 1M tokens | 328K tokens |
| Max output | 393K tokens | 16K tokens |
| Input types | text | text, image |
| Capabilities | tools, JSON, reasoning | tools, JSON, vision |
| Author | DeepSeek | Meta |
| LMArena Overall | 1451 | 1279 |
| LMArena Coding | 1469 | 1286 |
| LMArena Math | 1454 | 1287 |
| LMArena Creative writing | 1446 | 1249 |
| LMArena Instruction following | 1448 | 1248 |
| LMArena Hard prompts | 1461 | 1266 |
| LMArena Vision | — | 1118 |
| LMArena Web dev | 1582 | — |
| GPQA Diamond | 90.9% | 51.8% |
| SWE-bench Verified | 77.6% | — |
| MATH Level 5 | — | 62.3% |
| FrontierMath | — | 0.0% |
| OTIS Mock AIME | 96.7% | 7.8% |
| SimpleQA Verified | 47.0% | — |
Scores from LMArena and Epoch AI, as published; a blank cell means not measured there.
What a month costs on each
| Workload | DeepSeek V4 Pro | Llama 4 Scout 17B |
|---|---|---|
| Chatbot month (15M in, 4M out) | $29.90 | $2.70 |
| RAG month (40M in, 3M out) | $59.80 | $4.90 |
| Coding month (60M in, 10M out) | $104.00 | $9.00 |
On a typical 75/25 input-output mix, Llama 4 Scout 17B costs less (about 91% less than DeepSeek V4 Pro). DeepSeek V4 Pro 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-pro", "messages": [{"role": "user", "content": "Hello"}]}'
# the other one: change the model string
-d '{"model": "meta-llama/llama-4-scout-17b-16e-instruct", ...}'Common questions
Which is cheaper, DeepSeek V4 Pro or Llama 4 Scout 17B?
Llama 4 Scout 17B is cheaper on a typical mix of 75% input and 25% output tokens, by about 91%. Through Rapid Router both are billed at the provider list price per million tokens.
Which has the larger context window?
DeepSeek V4 Pro, at 1M tokens. Llama 4 Scout 17B offers 328K tokens.
Can I switch between DeepSeek V4 Pro and Llama 4 Scout 17B 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-pro or meta-llama/llama-4-scout-17b-16e-instruct).
How do I pay for DeepSeek V4 Pro or Llama 4 Scout 17B?
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