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groq
meta-llama/llama-4-scout-17b-16e-instruct
Last tested Jul 14, 2026
Overall pass
94%
Avg latency
571 ms
Context
—
Tools
—
Input $/1M
—
Output $/1M
—
Tests run
18
Passed
17/18
AI summary
Hardware to run it
Hosted:
API only
Self-host:
API only
Proprietary / weights not released — hosted API only.
Test results
⚡
Ping
Latency & availability — single-word reply
243 ms
🧮
Reasoning
Basic math reasoning — show work, give answer
307 ms
{ }
JSON Output
Structured output compliance — valid JSON with required keys
303 ms
💻
Code Gen
Python function generation with docstring
570 ms
🚀
Throughput
Token generation speed — 500-token long-form response
1339 ms
🔍
Context Recall
Retrieval from in-context data — 20-item list Q&A
Compare with another model
See the leaderboard
776 ms
🔧
Tool Use
Function/tool calling — get_weather invocation
313 ms
📝
Summarization
Real-world: distill a news article into 3 bullet points
931 ms
🏷️
Classification
Real-world: sentiment + category from customer review
299 ms
📄
Data Extraction
Real-world: pull structured fields from an invoice
564 ms
📋
Instruction Follow
Real-world: multi-rule compliance (5 sentences, no "the", etc.)
662 ms
✅
Format Compliance
IFEval-style: 4 bullets, keyword inclusion/exclusion, no preamble
467 ms
🪡
Long-Context Needle
Find a 6-digit code buried in ~3.5k tokens of filler text
447 ms
🧠
Multi-Step Logic
BBH-lite: boolean expression + web of lies + object counting
fail