Grok 4 wins on coding (92 vs 58) and context window (2M vs 256K). Llama 4 Maverick wins on price ($0.6 vs $2/1M input). For most workflows, Grok 4 is the stronger default — strong coding value with 2m context — an underrated pick at this price.
The safest Grok 4 vs Llama 4 Maverick default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Grok 4 is the strongest answer here for Grok 4 vs Llama 4 Maverick — pick it when quality of output matters more than the $2.00/1M/1M input you pay for it.
Llama 4 Maverick handles the same job for about 73% less per token. Start here and only move up if the output is not good enough.
Grok 4 is the fastest of these for Grok 4 vs Llama 4 Maverick — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Grok 4 leads on coding with a score of 92 vs 58 for Llama 4 Maverick.
Grok 4 has the larger context window: 2M vs 256K for Llama 4 Maverick.
Llama 4 Maverick is cheaper at $0.6/1M input tokens vs $2/1M for Grok 4.
Grok 4 is the safer default: it is built for coding and research at competitive pricing with maximum context, 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 — Grok 4 costs 3x 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 Grok 4 vs Llama 4 Maverick answer changes when cost, speed, or long-document depth leads the decision.
xAI / Balanced / Sep 2, 2026
Strong coding value with 2M context — an underrated pick at this price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need the highest writing quality or the most reliable production-grade output — Claude wins both.
Where the Grok 4 vs Llama 4 Maverick recommendation shifts once you weigh price or latency differently.
Strong coding value with 2M context — an underrated pick at this 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 |
|---|---|---|---|---|---|---|---|---|
| Grok 4xAI | $2.00/1M | $6.00/1M | $32 | 2M tokens | Fast | 92 | 70 | 86 |
| 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 Grok 4 vs Llama 4 Maverick, what it is genuinely good at, and where we would steer you away from it.
The default answer for Grok 4 vs Llama 4 Maverick — 92/100 on the coding axis, and the model we would start with unless the price below rules it out.
xAI's latest flagship with strong coding benchmark performance, a 2M token context window, and aggressive pricing at $2/$6 per million tokens.
You need the highest writing quality or the most reliable production-grade output — Claude wins both.
Strong coding benchmark with excellent value. The $2/$6 pricing and 2M context make it competitive with more expensive alternatives.
Full pricing, benchmark table and release notes on the Grok 4 page.
The value option for Grok 4 vs Llama 4 Maverick: about 73% less per token than Grok 4, at 58/100 on coding. Worth starting here and moving up only if the output disappoints.
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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Grok 4 wins on more of the categories we score — coding, research, reasoning — 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": Grok 4 is aimed at coding and research at competitive pricing with maximum context, 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. Grok 4 costs $2/1M input and $6/1M output.
Grok 4 has the larger context window at 2M tokens vs Llama 4 Maverick's 256K. For large document analysis, Grok 4 is the stronger pick.
Grok 4 is better for coding with a score of 92 vs Llama 4 Maverick's 58 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Both Grok 4 and Llama 4 Maverick have similar speed profiles — rated fast. Neither will be the bottleneck if latency is your deciding factor.
Claude Opus 4.6 and Sonnet 4.6 lead on pure coding benchmarks. Less established ecosystem and tooling than OpenAI or Anthropic. Avoid it if you need the highest writing quality or the most reliable production-grade output — Claude wins both. 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 Grok 4 specifically, the gap shows up most on coding (92 vs 58).
Take a moderate workload of 10M input and 2M output tokens a month. Grok 4 runs $32.00 (at $2/1M in and $6/1M out); Llama 4 Maverick runs $9.20 (at $0.6/1M in and $1.6/1M out). That is a $22.80/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 Grok 4 for coding and research at competitive pricing with maximum context, 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 Grok 4 for the hard cases is usually the cheapest arrangement that does not cost you quality.