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Claude Opus 4.8 vs Llama 4 Maverick

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 Claude Opus 4.8 and Llama 4 Maverick.

Anthropic

Claude Opus 4.8

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...

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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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Technical Specifications

SpecificationClaude Opus 4.8Llama 4 Maverick
ProviderAnthropicMeta
Context Window1,000,000 tokens1,048,576 tokens
Agent Suitability97/10089/100
Time to First Token (TTFT)520 ms300 ms
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-05-272026-05-25

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.8

$5.00

Llama 4 Maverick

$0.15

Output Price per Million Tokens

Claude Opus 4.8

$25.00

Llama 4 Maverick

$0.60

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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
9540.0%vs9150.0%
Claude Opus 4.8
Llama 4 Maverick
HumanEvalPython coding & logic synthesis
9720.0%vs9380.0%
Claude Opus 4.8
Llama 4 Maverick
MATHComplex mathematical problem solving
9410.0%vs8920.0%
Claude Opus 4.8
Llama 4 Maverick
GPQAGraduate-level expert reasoning
8650.0%vs7640.0%
Claude Opus 4.8
Llama 4 Maverick
HellaSwagCommonsense reasoning and inference
9920.0%vs9720.0%
Claude Opus 4.8
Llama 4 Maverick
MT-BenchMulti-turn conversation flow quality
980.0%vs940.0%
Claude Opus 4.8
Llama 4 Maverick

Claude Opus 4.8 Quirks & Gotchas

  • โ–ธBest-in-class for autonomous code repair and multi-agent orchestration
  • โ–ธPreview model โ€” API may introduce breaking changes without notice

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