Llama 4 Maverick vs Claude Opus 4.6

Comprehensive comparison between Meta's Llama 4 Maverick and Anthropic's Claude Opus 4.6. Compare pricing, performance, features, and user reviews.

llama vs claudellama 4 vs claudeopen source vs closed aimeta ai vs anthropic

Llama 4 Maverick

Meta

Meta's flagship open-source multimodal model. 17B active parameters with 400B total (128 expert MoE). 1M context window, natively multimodal with early fusion. Extremely cost-effective at $0.15/$0.60 per M tokens. Supports 12 languages.

$0.15/$0.6per M tokens
Details

Claude Opus 4.6

Anthropic

Anthropic's flagship model with 1M token context (beta), adaptive thinking, and the highest agentic coding scores. Introduced Agent Teams for parallel autonomous coding. Nearly doubled ARC-AGI-2 score over Opus 4.5 (68.8% vs 37.6%).

$5/$25per M tokens
Details

Specs Comparison

SpecificationLlama 4 MaverickClaude Opus 4.6
Context Window1049K1000K
Max Output16K128K
Input (per 1M tokens)$0.15$5.00
Output (per 1M tokens)$0.60$25.00
Reasoning
Open Source

Scenario Score Comparison

Coding
—
vs
96
Writing
—
vs
91

Llama 4 Maverick

Pros

  • + Extremely affordable ($0.15/$0.60)
  • + 1M context window
  • + Native multimodal (text + image)
  • + Open source (Llama 4 Community License)
  • + High throughput MoE architecture

Cons

  • − Coding performance below Claude/GPT
  • − Benchmark gaming controversy
  • − 16K max output limit
  • − Knowledge cutoff August 2024

Claude Opus 4.6

Pros

  • + Highest SWE-bench score (80.8%)
  • + 128K max output (doubled from 4.5)
  • + Adaptive thinking with effort levels
  • + Agent Teams for parallel coding
  • + Best instruction following in complex contexts

Cons

  • − 2x price of GPT-5.4
  • − Response prefilling removed (breaking change)
  • − 1M context in beta only
  • − Extended thinking deprecated

Recommendation

Choose Llama 4 Maverick if you:

  • • Need extremely affordable ($0.15/$0.60)
  • • Need 1m context window
  • • Need native multimodal (text + image)

Choose Claude Opus 4.6 if you:

  • • Need highest swe-bench score (80.8%)
  • • Need 128k max output (doubled from 4.5)
  • • Need adaptive thinking with effort levels

Based on scores across 2 scenarios, Claude Opus 4.6 performs better overall.

Llama 4 Maverick Details Claude Opus 4.6 Details

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