Llama 4 Maverick vs Claude Opus 4.7Benchmark Comparison 2026

Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.

Overall winner (2026)

Llama 4 Maverick

4 of 7 criteria won

Meta

Llama 4 Maverick

Winner

Intelligence Index

18.4

Coding Index

15.6

4 criteria won

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Anthropic

Claude Opus 4.7

Intelligence Index

57.3

Coding Index

53.1

3 criteria won

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Detailed Comparison

CritérioLlama 4 MaverickClaude Opus 4.7
Chatbot Arena ELO
Intelligence Index (AA)18.457.3
Coding Index (AA)15.653.1
GPQA Diamond67.0%91.0%
Input price ($/1M tok)$0.35$6.25
Output price ($/1M tok)$0.85$25.00
Context window1.0M tokens1.0M tokens
Speed (tokens/s)119 tok/s49 tok/s

✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly

Technical Specifications

Llama 4 Maverick

Company
Meta
Context window
1.0M tokens
Input ($/1M tok)
$0.35
Output ($/1M tok)
$0.85
Speed
119 tok/s
Release
Apr 2025
Multimodal
Yes
Open Source
Yes
Official website
Visit

Claude Opus 4.7

Company
Anthropic
Context window
1.0M tokens
Input ($/1M tok)
$6.25
Output ($/1M tok)
$25.00
Speed
49 tok/s
Release
Apr 2026
Multimodal
Yes
Open Source
No
Official website
Visit

When to use Llama 4 Maverick vs Claude Opus 4.7?

Choosing between Llama 4 Maverick and Claude Opus 4.7 depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.

Use Llama 4 Maverick when:

Meta · Multimodal · Open Source

  • High-volume token projects — at $0.35/1M input tokens, the cost per call is low enough for production use at scale
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Self-hosted projects with privacy requirements — ideal for sensitive data that cannot leave your own infrastructure
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
View full Llama 4 Maverick profile

Use Claude Opus 4.7 when:

Anthropic · Multimodal

  • Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
  • API integration in SaaS applications — direct API access with documented SLA
View full Claude Opus 4.7 profile
SWEN Verdict: Llama 4 Maverick wins in more objective criteria in this comparison (4 vs 3). For most use cases, Llama 4 Maverick offers better aggregate performance — but Claude Opus 4.7 may be preferable if your project prioritizes complex reasoning, math and advanced programming.

Frequently Asked Questions

Llama 4 Maverick or Claude Opus 4.7: which is better?

Llama 4 Maverick wins in 4 of 7 criteria analyzed. Check the full table to choose based on your use case.

Where does this benchmark data come from?

Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.

What is the Intelligence Index?

The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.

Is Llama 4 Maverick cheaper than Claude Opus 4.7?

Yes. Llama 4 Maverick costs $0.35/1M input tokens, while Claude Opus 4.7 costs $6.25/1M tokens — 1686% more expensive. For high-volume projects, Llama 4 Maverick represents significant savings. Total cost also depends on output pricing and your application's usage pattern.

Llama 4 Maverick or Claude Opus 4.7: which has a larger context window?

Llama 4 Maverick has the larger context window: 1.0M tokens vs 1.0M tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.

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Llama 4 Maverick vs Claude Opus 4.7: Benchmark Comparison 2026 | SWEN.AI