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Model comparison

DeepSeek V4 Pro vs Llama 4 Scout 17B 16E Instruct

Price in rupees, context and benchmarks side by side; same key, a one-string switch.

Input price per 1M
₹128 ($1.30)
₹9.83 ($0.100)
Output price per 1M
₹255 ($2.60)
₹29.47 ($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
1470
1286
LMArena Math
1455
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

Chatbot month (15M in, 4M out)
₹2,938
₹265
RAG month (40M in, 3M out)
₹5,875
₹481
Coding month (60M in, 10M out)
₹10,218
₹884

On a typical 75/25 input-output mix, Llama 4 Scout 17B 16E Instruct 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
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 16E Instruct?

Llama 4 Scout 17B 16E Instruct 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, in rupees.

Which has the larger context window?

DeepSeek V4 Pro, at 1M tokens. Llama 4 Scout 17B 16E Instruct offers 328K tokens.

Can I switch between DeepSeek V4 Pro and Llama 4 Scout 17B 16E 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-pro or meta-llama/llama-4-scout-17b-16e-instruct).

How do I pay for DeepSeek V4 Pro or Llama 4 Scout 17B 16E Instruct in India?

Top up a Rapid Router balance with UPI or a card in rupees, get a GST invoice on every recharge, and both models debit that balance per request.