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Home/Llama 4 Maverick vs Claude Opus 4.6
Winner: Claude Opus 4.6Meta vs Anthropic

Llama 4 Maverick vs Claude Opus 4.6

Llama 4 Maverick wins on price ($0.6 vs $5/1M input). Claude Opus 4.6 wins on coding (99 vs 58) and writing quality and context window (1M vs 256K). For most workflows, Claude Opus 4.6 is the stronger default — previous opus flagship, now superseded by claude opus 4.7.

Last verified Sep 3, 2026/Model data modified Sep 3, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$5.00/1M
Context
1M tokens
Speed
Deliberate

Clear recommendation block

The safest Llama 4 Maverick vs Claude Opus 4.6 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.

Best overall model

Claude Opus 4.6

View
Why this recommendation

Claude Opus 4.6 is the strongest answer here for Llama 4 Maverick vs Claude Opus 4.6 — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.

AnthropicPremium
Best for
Agentic coding, complex multi-step reasoning, and deep research
Price
$5.00/1M
Context
1M tokens
Best value model

Llama 4 Maverick

View
Why this recommendation

Llama 4 Maverick handles the same job for about 93% less per token. Start here and only move up if the output is not good enough.

MetaBudget
Best for
Flexible self-hosted deployments and mixed general workloads
Price
$0.60/1M
Context
256k tokens
Best for speed

Llama 4 Maverick

View
Why this recommendation

Llama 4 Maverick is the fastest of these for Llama 4 Maverick vs Claude Opus 4.6 — worth it when latency is what the reader notices, not the last few points of reasoning depth.

MetaBudget
Best for
Flexible self-hosted deployments and mixed general workloads
Price
$0.60/1M
Context
256k tokens

Why this page recommends it

Claude Opus 4.6 leads on coding with a score of 99 vs 58 for Llama 4 Maverick.

Claude Opus 4.6 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 4.6.

Decision notes

Claude Opus 4.6 is the safer default: it is built for agentic coding, complex multi-step reasoning, and deep research, which covers most of what people bring to this comparison.

Switch to Llama 4 Maverick when your work is mostly flexible self-hosted deployments and mixed general workloads; on that narrower brief it is the better tool.

Llama 4 Maverick is the more cost-efficient option at $0.6/1M input — Claude Opus 4.6 costs 8x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the Llama 4 Maverick vs Claude Opus 4.6 answer changes when cost, speed, or long-document depth leads the decision.

#1Claude Opus 4.685 pts
#2Llama 4 Maverick63 pts
Quality first

Claude Opus 4.6

Anthropic / Premium / Sep 3, 2026

85

Previous Opus flagship, now superseded by Claude 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
2/5 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You want the current premium coding leader, need lower cost, or are starting a new integration.

Recommended comparisons

Where the Llama 4 Maverick vs Claude Opus 4.6 recommendation shifts once you weigh price or latency differently.

MetaBudgetWinner: Claude Opus 4.6

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
$0.60/1M
Pricing
Budget
Speed
Fast
Context
256k tokens
Open weightsSelf-hostedFlexible
AnthropicPremiumOption 2

Claude Opus 4.6

Previous Opus flagship, now superseded by Claude Opus 4.7.

Best use case
Agentic coding, complex multi-step reasoning, and deep research
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-bench #1Agentic

Side-by-side specs

List prices and published scores — the numbers this page's pick is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Opus 4.6Anthropic$5.00/1M$25.00/1M$1001M tokensDeliberate999496
Llama 4 MaverickMeta$0.60/1M$1.60/1M$9.20256k tokensFast586664

Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.

The case for each model

Why each one is on the shortlist for Llama 4 Maverick vs Claude Opus 4.6, what it is genuinely good at, and where we would steer you away from it.

Claude Opus 4.6

Winner: Claude Opus 4.6Anthropic

The default answer for Llama 4 Maverick vs Claude Opus 4.6 — 99/100 on the coding axis, and the model we would start with unless the price below rules it out.

Anthropic's previous Opus flagship for high-stakes coding, reasoning, and deep research before Opus 4.7.

Input
$5.00/1M
Output
$25.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Reviewing large pull requests spanning 50+ files across a monorepo
  • Writing and debugging multi-step agentic workflows with tool calls and error recovery
  • Synthesizing long research documents into structured summaries with 1M context

Where it wins

  • Strong SWE-bench Verified result from the previous Opus generation
  • 1M token context window at standard pricing
  • Best agentic computer use score at 72.7% on OSWorld

Where it falls down

  • Premium pricing ($15/$75) makes it expensive for high-volume usage
  • Sonnet 4.6 is only 1.2 points behind on SWE-bench at 5× lower cost

Skip it if

You want the current premium coding leader, need lower cost, or are starting a new integration.

Our verdict

Still strong for high-stakes engineering work, but Opus 4.7 is the newer premium coding leader. For most teams, Sonnet 4.6 remains the smarter lower-cost default.

Full pricing, benchmark table and release notes on the Claude Opus 4.6 page.

Llama 4 Maverick

Meta

The cost-conscious pick for Llama 4 Maverick vs Claude Opus 4.6, about 93% less per token than Claude Opus 4.6 than the top choice while holding 58/100 on coding.

Flexible open-weight model for teams that want control, portability, and solid general-purpose performance.

Input
$0.60/1M
Output
$1.60/1M
Context
256k tokens
Speed
Fast

What people actually use it for

  • Running open-weight AI on self-hosted infrastructure with full data control
  • Fine-tuning for domain-specific use cases in regulated industries
  • General-purpose tasks in environments with strict data residency requirements

Where it wins

  • Open weights — run on your own infrastructure or fine-tune
  • Balanced enough for many general workloads
  • Best option when vendor lock-in is a concern

Where it falls down

  • Quality depends heavily on deployment setup and hardware
  • No significant lead over hosted models in any single benchmark category

Skip it if

You want the strongest hosted answer quality — closed frontier models win on benchmarks.

Our verdict

Best when infrastructure control and open-weight flexibility matter more than absolute peak quality.

Full pricing, benchmark table and release notes on the Llama 4 Maverick page.

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Meta
Llama 4 MaverickBest flexible option for teams that need open-weight portability.Read guide
Anthropic
Claude Opus 4.6Previous Opus flagship, now superseded by Claude Opus 4.7.Read guide
Alternatives
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Alternatives
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Quick links

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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 Llama 4 Maverick better than Claude Opus 4.6?

Claude Opus 4.6 wins on more of the categories we score — coding, research, long context — so it is the better default of the two. Llama 4 Maverick is the better pick when your work is mostly flexible self-hosted deployments and mixed general workloads. Neither is universally "better": Claude Opus 4.6 is aimed at agentic coding and complex multi-step reasoning, Llama 4 Maverick at flexible self-hosted deployments and mixed general workloads.

Which is cheaper — Llama 4 Maverick or Claude Opus 4.6?

Llama 4 Maverick is cheaper at $0.6/1M input and $1.6/1M output. Claude Opus 4.6 costs $5/1M input and $25/1M output.

Which has a larger context window — Llama 4 Maverick or Claude Opus 4.6?

Claude Opus 4.6 has the larger context window at 1M tokens vs Llama 4 Maverick's 256K. For large document analysis, Claude Opus 4.6 is the stronger pick.

Is Llama 4 Maverick or Claude Opus 4.6 better for coding?

Claude Opus 4.6 is better for coding with a score of 99 vs Llama 4 Maverick's 58 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.

Which is faster — Llama 4 Maverick or Claude Opus 4.6?

Llama 4 Maverick is faster with a fast speed rating (score: 4) vs Claude Opus 4.6's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.6 latency penalty is usually invisible.

What are the downsides of Claude Opus 4.6?

Premium pricing ($15/$75) makes it expensive for high-volume usage. Sonnet 4.6 is only 1.2 points behind on SWE-bench at 5× lower cost. Avoid it if you want the current premium coding leader, need lower cost, or are starting a new integration. That is the main case for looking at Llama 4 Maverick instead.

What are the downsides of Llama 4 Maverick?

Quality depends heavily on deployment setup and hardware. No significant lead over hosted models in any single benchmark category. Avoid it if you want the strongest hosted answer quality — closed frontier models win on benchmarks. Against Claude Opus 4.6 specifically, the gap shows up most on coding (99 vs 58).

What does a month of real work cost on Llama 4 Maverick vs Claude Opus 4.6?

Take a moderate workload of 10M input and 2M output tokens a month. Llama 4 Maverick runs $9.20 (at $0.6/1M in and $1.6/1M out); Claude Opus 4.6 runs $100.00 (at $5/1M in and $25/1M out). That is a $90.80/month difference — Llama 4 Maverick is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.

Can I use Llama 4 Maverick and Claude Opus 4.6 together?

Yes, and for most teams that beats picking one. A common split is Claude Opus 4.6 for agentic coding and complex multi-step reasoning, with Llama 4 Maverick handling flexible self-hosted deployments and mixed general workloads. Routing high-volume, low-stakes calls to Llama 4 Maverick at $0.6/1M and reserving Claude Opus 4.6 for the hard cases is usually the cheapest arrangement that does not cost you quality.