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.
The safest Claude Opus 4.8 vs Llama 4 Maverick default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Opus 4.8 is the strongest answer here for Claude Opus 4.8 vs Llama 4 Maverick — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.
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.
Llama 4 Maverick is the fastest of these for Claude Opus 4.8 vs Llama 4 Maverick — worth it when latency is what the reader notices, not the last few points of reasoning depth.
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.
Go with Claude Opus 4.8 if you want one model to handle coding and research — it targets hardest coding tasks, parallel agentic workflows, and high-fidelity vision.
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 4.8 costs 8x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the Claude Opus 4.8 vs Llama 4 Maverick answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 3, 2026
Best value premium coder — frontier-grade at half of Fable 5's price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need low-latency responses, image generation, or a workflow locked to OpenAI tooling.
Where the Claude Opus 4.8 vs Llama 4 Maverick recommendation shifts once you weigh price or latency differently.
Best value premium coder — frontier-grade at half of Fable 5's price.
Best flexible option for teams that need open-weight portability.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Opus 4.8Anthropic | $5.00/1M | $25.00/1M | $100 | 1M tokens | Deliberate | 100 | 96 | 98 |
| Llama 4 MaverickMeta | $0.60/1M | $1.60/1M | $9.20 | 256k tokens | Fast | 58 | 66 | 64 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for Claude Opus 4.8 vs Llama 4 Maverick, what it is genuinely good at, and where we would steer you away from it.
The default answer for Claude Opus 4.8 vs Llama 4 Maverick — 100/100 on the coding axis, and the model we would start with unless the price below rules it out.
Anthropic's newest Opus flagship — 69.2% SWE-Bench Pro, 88.6% SWE-Bench Verified, 1890 Arena Elo (121 pts ahead of GPT-5.5), and native parallel subagents. Same $5/$25 price as Opus 4.7.
You need low-latency responses, image generation, or a workflow locked to OpenAI tooling.
The best value at the premium tier now that Claude Fable 5 leads on raw capability. 69.2% SWE-Bench Pro, 1890 Elo, and built-in parallel subagents at $5/$25 — half the price of Fable 5. The smart default for serious coding when you don't need the absolute frontier.
Full pricing, benchmark table and release notes on the Claude Opus 4.8 page.
Where most budgets should land for Claude Opus 4.8 vs Llama 4 Maverick — about 93% less per token than Claude Opus 4.8, and still 58/100 on the coding axis.
Flexible open-weight model for teams that want control, portability, and solid general-purpose performance.
You want the strongest hosted answer quality — closed frontier models win on benchmarks.
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.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Opus 4.8 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 4.8 is aimed at hardest coding tasks and parallel agentic workflows, Llama 4 Maverick at flexible self-hosted deployments and mixed general workloads.
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.
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.
Claude Opus 4.8 is better for coding with a score of 100 vs Llama 4 Maverick's 58 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Llama 4 Maverick is faster with a fast speed rating (score: 4) vs Claude Opus 4.8's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the Claude Opus 4.8 latency penalty is usually invisible.
Deliberate pace — not the right pick for latency-sensitive applications. Same price tier as Opus 4.7; not a budget option. Avoid it if you need the highest possible coding ceiling (Fable 5 / Mythos 5), low-latency responses, or a workflow locked to OpenAI tooling. That is the main case for looking at Llama 4 Maverick instead.
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 4.8 specifically, the gap shows up most on coding (100 vs 58).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Opus 4.8 runs $100.00 (at $5/1M in and $25/1M out); Llama 4 Maverick runs $9.20 (at $0.6/1M in and $1.6/1M 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.
Yes, and for most teams that beats picking one. A common split is Claude Opus 4.8 for hardest coding tasks and parallel agentic workflows, 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 4.8 for the hard cases is usually the cheapest arrangement that does not cost you quality.