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Llama 4 Maverick vs Qwen3.5 Plus 2026-04-20

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 4 Maverick and Qwen3.5 Plus 2026-04-20.

Meta

Llama 4 Maverick

Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.

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Alibaba

Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

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Technical Specifications

SpecificationLlama 4 MaverickQwen3.5 Plus 2026-04-20
ProviderMetaAlibaba
Context Window1,048,576 tokens1,000,000 tokens
Agent Suitability89/100N/A
Time to First Token (TTFT)300 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-05-252026-04-27

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.15

Qwen3.5 Plus 2026-04-20

$0.30

Output Price per Million Tokens

Llama 4 Maverick

$0.60

Qwen3.5 Plus 2026-04-20

$1.80

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9150.0%vsN/A
Llama 4 Maverick
Qwen3.5 Plus 2026-04-20
HumanEvalPython coding & logic synthesis
9380.0%vsN/A
Llama 4 Maverick
Qwen3.5 Plus 2026-04-20
MATHComplex mathematical problem solving
8920.0%vsN/A
Llama 4 Maverick
Qwen3.5 Plus 2026-04-20
GPQAGraduate-level expert reasoning
7640.0%vsN/A
Llama 4 Maverick
Qwen3.5 Plus 2026-04-20
HellaSwagCommonsense reasoning and inference
9720.0%vsN/A
Llama 4 Maverick
Qwen3.5 Plus 2026-04-20
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
Llama 4 Maverick
Qwen3.5 Plus 2026-04-20

Llama 4 Maverick Quirks & Gotchas

  • โ–ธSelf-hostable via Ollama/Docker โ€” ideal for on-premise deployments
  • โ–ธRequires specific system prompt for optimal function calling reliability

Qwen3.5 Plus 2026-04-20 Quirks & Gotchas

No developer gotchas reported.