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Model comparison

Llama 4 Scout 17B 16E Instruct vs Qwen3.7 Max

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

Input price per 1M
₹9.83 ($0.100)
₹123 ($1.25)
Output price per 1M
₹29.47 ($0.300)
₹368 ($3.75)
Context window
328K tokens
1M tokens
Max output
16K tokens
131K tokens
Input types
text, image
text
Capabilities
tools, JSON, vision
tools, JSON, reasoning
Author
Meta
Qwen
LMArena Overall
1279
1475
LMArena Coding
1286
1496
LMArena Math
1287
1488
LMArena Creative writing
1249
1449
LMArena Instruction following
1248
1461
LMArena Hard prompts
1266
1482
LMArena Vision
1118
—
LMArena Web dev
—
1516
GPQA Diamond
51.8%
90.9%
SWE-bench Verified
—
77.3%
MATH Level 5
62.3%
—
FrontierMath
0.0%
—
OTIS Mock AIME
7.8%
95.6%
SimpleQA Verified
—
55.8%

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)
₹265
₹3,316
RAG month (40M in, 3M out)
₹481
₹6,018
Coding month (60M in, 10M out)
₹884
₹11,053

On a typical 75/25 input-output mix, Llama 4 Scout 17B 16E Instruct costs less (about 92% less than Qwen3.7 Max). Qwen3.7 Max 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": "meta-llama/llama-4-scout-17b-16e-instruct", "messages": [{"role": "user", "content": "Hello"}]}'

# the other one: change the model string
  -d '{"model": "qwen/qwen3.7-max", ...}'

Common questions

Which is cheaper, Llama 4 Scout 17B 16E Instruct or Qwen3.7 Max?

Llama 4 Scout 17B 16E Instruct is cheaper on a typical mix of 75% input and 25% output tokens, by about 92%. Through Rapid Router both are billed at the provider list price per million tokens, in rupees.

Which has the larger context window?

Qwen3.7 Max, at 1M tokens. Llama 4 Scout 17B 16E Instruct offers 328K tokens.

Can I switch between Llama 4 Scout 17B 16E Instruct and Qwen3.7 Max 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-4-scout-17b-16e-instruct or qwen/qwen3.7-max).

How do I pay for Llama 4 Scout 17B 16E Instruct or Qwen3.7 Max 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.