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Qwen3-6-27B vs Llama 4 Scout

Detailed technical comparison between Qwen3-6-27B (Alibaba) and Llama 4 Scout (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Qwen3-6-27B: 0 WinsvsLlama 4 Scout: 1 Win
Context Leader

Llama 4 Scout

10,000,000 tokens
Agentic Tool-Calling

Qwen3-6-27B

89/100 Score
Lowest Latency (TTFT)

Qwen3-6-27B

190 ms TTFT
Input Price Leader

Llama 4 Scout

$0.10 / MTok
Alibabaactive

Qwen3-6-27B

Qwen3-6-27B is Alibaba Cloud's open-weights 27B parameter dense model providing top-tier multilingual performance and low memory overhead.

View Qwen3-6-27B Full Specs →
Metaactive

Llama 4 Scout

Llama 4 Scout is Meta's specialized ultra-long-context open weights model, engineered specifically for massive document processing and retrieval-augmented generation (RAG) at a scale no other publicly available model matches. Its extraordinary 10-million-token context window enables ingestion of entire digital libraries, full-year financial filings, or extensive multi-file codebases in a single inference call. Priced at just $0.10/MTok for input, Llama 4 Scout represents a revolutionary cost-per-context-unit ratio, making it the default choice for knowledge management systems, enterprise search platforms, and large-scale information extraction pipelines.

View Llama 4 Scout Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationQwen3-6-27BLlama 4 Scout
ProviderAlibabaMeta
Context Window256,000 tokens10,000,000 tokens🏆
Agent Suitability89/100 (est.)🏆82/100 (est.)
Time to First Token (TTFT)190 ms (est.)🏆350 ms (est.)
Deployment Modelself hostableself hostable
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-04-182026-06-01

API Pricing Comparison

Input Price per Million Tokens

Qwen3-6-27B

$0.40

Llama 4 Scout

$0.10

Output Price per Million Tokens

Qwen3-6-27B

$1.60

Llama 4 Scout

$0.30

💡 Cost Ratio: Llama 4 Scout is 4.0x cheaper per input token than Qwen3-6-27B.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs87.2%
Qwen3-6-27B
Llama 4 Scout
HumanEvalPython coding & logic synthesis
88.4%vs89.5%+1.1% Llama 4 Scout
Qwen3-6-27B
Llama 4 Scout 🏆
MATHComplex mathematical problem solving
N/Avs81.0%
Qwen3-6-27B
Llama 4 Scout
GPQAGraduate-level expert reasoning
N/Avs66.8%
Qwen3-6-27B
Llama 4 Scout
HellaSwagCommonsense reasoning and inference
N/Avs94.5%
Qwen3-6-27B
Llama 4 Scout
MT-BenchMulti-turn conversation flow quality
N/Avs9.1%
Qwen3-6-27B
Llama 4 Scout

Qwen3-6-27B Quirks & Gotchas

  • ▸Supports local execution via vLLM and Ollama

Llama 4 Scout Quirks & Gotchas

  • ▸10M context causes significant VRAM pressure — recommend 4-bit quantization
  • ▸Primarily designed for RAG, not agentic tool calling

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