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Home/Claude Opus 4.8 vs Llama 4 Maverick
Winner: Claude Opus 4.8Anthropic vs Meta

Claude Opus 4.8 vs Llama 4 Maverick

Claude Opus 4.8 wins on coding (100 vs 58) and writing quality and context window (1M vs 256K). Llama 4 Maverick wins on price ($0.6 vs $5/1M input). For most workflows, Claude Opus 4.8 is the stronger default — best value premium coder — frontier-grade at half of fable 5's price.

Last verified May 27, 2026/Model data modified May 27, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$5.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

Claude Opus 4.8

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Why this recommendation

Claude Opus 4.8 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision
Price
$5.00/1M
Context
1M tokens
Best budget model

Meta: Llama 3.1 8B Instruct

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Why this recommendation

Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.

MetaBudget
Best for
High-throughput applications where cost and speed matter more than frontier-level quality, such as chatbots, content classification, and text summarization.
Price
$0.02/1M
Context
16k tokens
Best for speed

Llama 4 Maverick

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Why this recommendation

Llama 4 Maverick is the better pick when response speed matters more than maximum reasoning depth.

MetaBudget
Best for
Flexible self-hosted deployments and mixed general workloads
Price
$0.15/1M
Context
256k tokens

Why this page recommends it

Claude Opus 4.8 leads on coding with a score of 100 vs 58 for Llama 4 Maverick.

Claude Opus 4.8 has the larger context window: 1M vs 256K for Llama 4 Maverick.

Llama 4 Maverick is cheaper at $0.6/1M input tokens vs $5/1M for Claude Opus 4.8.

Decision notes

Choose Claude Opus 4.8 for coding and research — hardest coding tasks.

Choose Llama 4 Maverick when flexible self-hosted deployments and mixed general workloads.

Llama 4 Maverick is the more cost-efficient option at $0.6/1M — worth considering if token volume is a concern.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1Claude Opus 4.890 pts
#2Llama 4 Maverick63 pts
Quality first

Claude Opus 4.8

Anthropic / Premium / May 27, 2026

90

New #1 on SWE-Bench Pro — parallel subagents, same price as Opus 4.7.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$5.00/1M
$25.00/1M out
Speed
Deliberate
2/100 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You need low-latency responses, image generation, or a workflow locked to OpenAI tooling.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

AnthropicPremiumWinner: Claude Opus 4.8

Claude Opus 4.8

New #1 on SWE-Bench Pro — parallel subagents, same price as Opus 4.7.

Best use case
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-bench Pro #1Parallel subagents
MetaBudgetOption 2

Llama 4 Maverick

Best flexible option for teams that need open-weight portability.

Best use case
Flexible self-hosted deployments and mixed general workloads
Input
$0.15/1M
Pricing
Budget
Speed
Fast
Context
256k tokens
Open weightsSelf-hostedFlexible

Pros

69.2% SWE-Bench Pro — new #1, up from Opus 4.7's 64.3%

88.6% SWE-Bench Verified and 83.4% OSWorld computer use

Native parallel subagents: orchestrated multi-agent execution in a single call

1890 Arena Elo, 121 points ahead of GPT-5.5

Cons

Deliberate pace — not the right pick for latency-sensitive applications

Same price tier as Opus 4.7; not a budget option

Explore related decisions

Browse all modelsCompare pricingView Claude Opus 4.8View Llama 4 MaverickClaude Opus 4 8Llama 4 MaverickBest AI for codingBest AI for writingBest AI for researchCompare models side by side

How we evaluate AI models

UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.

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FAQ

Is Claude Opus 4.8 better than Llama 4 Maverick?

Claude Opus 4.8 wins on more categories — coding, research, long context. Llama 4 Maverick is the better pick when flexible self-hosted deployments and mixed general workloads. The right choice depends on your specific use case.

Which is cheaper — Claude Opus 4.8 or Llama 4 Maverick?

Llama 4 Maverick is cheaper at $0.6/1M input and $1.6/1M output. Claude Opus 4.8 costs $5/1M input and $25/1M output.

Which has a larger context window — Claude Opus 4.8 or Llama 4 Maverick?

Claude Opus 4.8 has the larger context window at 1M tokens vs Llama 4 Maverick's 256K. For large document analysis, Claude Opus 4.8 is the stronger pick.

Is Claude Opus 4.8 or Llama 4 Maverick better for coding?

Claude Opus 4.8 is better for coding with a score of 100 vs Llama 4 Maverick's 58 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.

Which is faster — Claude Opus 4.8 or Llama 4 Maverick?

Llama 4 Maverick is faster with a fast speed rating (score: 4) vs Claude Opus 4.8's deliberate rating (score: 2).