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Home/Claude Opus 4.7 vs Llama 4 Maverick
Winner: Claude Opus 4.7Anthropic vs Meta

Claude Opus 4.7 vs Llama 4 Maverick

Claude Opus 4.7 wins on coding (96 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 For most workflows, Claude Opus 4.7 is the stronger default — previous opus flagship, now superseded by claude opus 4.8 at the same price.

Last verified Jul 13, 2026/Model data modified Jul 13, 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 4.7

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Why this recommendation

Claude Opus 4.7 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
Highest-ceiling coding, agentic workflows, and deep research
Price
$5.00/1M
Context
1M tokens
Best budget model

Mistral: Mistral Nemo

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Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k 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
$0.20/1M
Context
256k tokens

Why this page recommends it

Claude Opus 4.7 leads on coding with a score of 100 vs 58 for Llama 4 Maverick.

Claude Opus 4.7 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 4.7.

Decision notes

Choose Claude Opus 4.7 for coding and research — highest-ceiling coding.

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 4.790 pts
#2Llama 4 Maverick63 pts
Quality first

Claude Opus 4.7

Anthropic / Premium / Jul 5, 2026

90

Best premium model for coding agents and high-stakes engineering work.

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 cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.

Recommended comparisons

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

AnthropicPremiumWinner: Claude Opus 4.7

Claude Opus 4.7

Best premium model for coding agents and high-stakes engineering work.

Best use case
Highest-ceiling coding, agentic workflows, and deep research
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-bench Pro #1Agentic
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
$0.20/1M
Pricing
Budget
Speed
Fast
Context
256k tokens
Open weightsSelf-hostedFlexible

Pros

64.3% on SWE-Bench Pro, ahead of GPT-5.5 and GPT-5.4 in current public comparisons

1M context window for large codebases and document-heavy workflows

Strong vision and agentic consistency improvements over Opus 4.6

Cons

Premium pricing is expensive for high-volume workloads

GPT-5.5 has stronger OpenAI ecosystem fit and faster Codex availability for some teams

Explore related decisions

Anthropic
Claude Opus 4.7Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.Read guide
Meta
Llama 4 MaverickBest flexible option for teams that need open-weight portability.Read guide
Guide
Best AI for CodingClaude Opus 4.7 leads coding AI in 2026 with 64.3% on SWE-Bench Pro. Compare it to GPT-5.5, Claude Sonnet 4.6, and budget picks like DeepSeek V3 for your stack.Read guide
Guide
Best AI for WritingClaude leads AI writing quality in 2026. Compare Claude Opus 4.7, Sonnet 4.6, GPT-4o, and budget picks for long-form content, brand voice, and professional…Read guide
Guide
Best AI for ResearchClaude Opus 4.7 and Gemini 3.1 Pro lead AI research in 2026. Compare 1M-token context models, Perplexity for real-time search, and the best picks for document…Read guide
Tool
Compare models side by sidePick any two models and see pricing, benchmarks, and context windows in one table.Read guide

Quick links

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FAQ

Is Claude Opus 4.7 better than Llama 4 Maverick?

Claude Opus 4.7 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 4.7 or Llama 4 Maverick?

Llama 4 Maverick is cheaper at $0.6/1M input and $1.6/1M output. Claude Opus 4.7 costs $5/1M input and $25/1M output.

Which has a larger context window — Claude Opus 4.7 or Llama 4 Maverick?

Claude Opus 4.7 has the larger context window at 1M tokens vs Llama 4 Maverick's 256K. For large document analysis, Claude Opus 4.7 is the stronger pick.

Is Claude Opus 4.7 or Llama 4 Maverick better for coding?

Claude Opus 4.7 is better for coding with a score of 96 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 4.7 or Llama 4 Maverick?

Llama 4 Maverick is faster with a fast speed rating (score: 4) vs Claude Opus 4.7's deliberate rating (score: 2).