{"id":2101,"date":"2026-08-03T18:32:03","date_gmt":"2026-08-03T18:32:03","guid":{"rendered":"https:\/\/convly.ai\/grok-api-pricing\/"},"modified":"2026-08-03T18:32:03","modified_gmt":"2026-08-03T18:32:03","slug":"grok-api-pricing","status":"publish","type":"page","link":"https:\/\/convly.ai\/es\/grok-api-pricing\/","title":{"rendered":"Precios de la API de Grok (2026): Coste por 1 mill\u00f3n de tokens de los modelos de xAI"},"content":{"rendered":"

Grok API pricing is $3 per 1M input tokens and $15 per 1M output on Grok 4<\/strong>,
\nwhich blends to roughly $5.40 at a typical usage mix. That places xAI in the same bracket as
\nfrontier models from OpenAI and Anthropic rather than in the budget tier \u2014 a positioning
\ndecision that shapes when Grok is the right call and when it is not.<\/p>\n

\n

Grok API pricing: every model, per 1M tokens<\/h2>\n \n \n \n \n
Model<\/th>Input $\/1M<\/th>Output $\/1M<\/th>\n Blended $\/1M<\/th>Context<\/th>\n <\/tr><\/thead>\n
Grok 4<\/a><\/td>\n $3.00<\/td>\n $15.00<\/td>\n $5.40<\/strong><\/td>\n 256,000 tokens<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n

Blended is the effective rate at a 4:1 input-to-output mix, which is what a\n typical chat or retrieval workload actually produces. It is the number to compare across\n vendors \u2014 a headline input price hides how much the output side costs.<\/p>\n\n

What Grok costs per month<\/h2>\n \n \n \n \n \n
Workload<\/th>Tokens \/ month<\/th>\n Grok 4<\/th>\n <\/tr><\/thead>\n
Side project<\/td>\n 1M in \/ 0.25M out<\/td>\n $6.75<\/strong><\/td>\n <\/tr>\n
Small team<\/td>\n 20M in \/ 5M out<\/td>\n $135<\/strong><\/td>\n <\/tr>\n
Production<\/td>\n 200M in \/ 50M out<\/td>\n $1,350<\/strong><\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n

Model your own volumes in the\n AI API cost calculator<\/a>.<\/p>\n\n

How Grok compares to other providers<\/h2>\n

Each provider's cheapest priced model, so the comparison is like for like on entry cost.<\/p>\n \n \n \n \n \n \n \n \n \n \n \n \n \n
Provider<\/th>Cheapest model<\/th>Blended $\/1M<\/th><\/tr><\/thead>\n
Mistral AI<\/td>\n Mistral 7B<\/a><\/td>\n $0.0220<\/td>\n <\/tr>\n
Meta<\/td>\n Llama 3.1 8B<\/a><\/td>\n $0.0220<\/td>\n <\/tr>\n
Alibaba<\/td>\n Qwen3 8B<\/a><\/td>\n $0.0600<\/td>\n <\/tr>\n
Google<\/td>\n Gemma 3 4B<\/a><\/td>\n $0.0600<\/td>\n <\/tr>\n
Microsoft<\/td>\n Phi-4<\/a><\/td>\n $0.0840<\/td>\n <\/tr>\n
DeepSeek<\/td>\n DeepSeek V4-Flash<\/a><\/td>\n $0.168<\/td>\n <\/tr>\n
Moonshot AI<\/td>\n Kimi K2.7 Code<\/a><\/td>\n $0.980<\/td>\n <\/tr>\n
Anthropic<\/td>\n Claude Haiku 4.5<\/a><\/td>\n $1.80<\/td>\n <\/tr>\n
Zhipu AI<\/td>\n GLM 5.2<\/a><\/td>\n $2.00<\/td>\n <\/tr>\n
xAI this page<\/span><\/td>\n Grok 4<\/a><\/td>\n $5.40<\/td>\n <\/tr>\n
OpenAI<\/td>\n GPT-5.6 Sol<\/a><\/td>\n $10.00<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n

Cheapest is not the same as best value \u2014 check capability alongside price on the\n LLM leaderboard<\/a>, or browse every\n model in the AI models database<\/a>.<\/p>\n <\/div>\n\n

What you get for the price<\/h2>\n

Grok 4 launched on 9 July 2025 as xAI’s flagship reasoning model and the successor to
\nGrok 3. It pairs native chain-of-thought reasoning with multimodal understanding, accepting
\ntext and image input and returning text, and ships with a 256,000-token context window. At
\nrelease it posted strong results on reasoning and tool-use benchmarks including Humanity’s Last
\nExam and ARC-AGI, helped by real-time access to X and the web.<\/p>\n

That live-search access is the genuine differentiator. Most frontier models answer from
\ntraining data plus whatever you put in the prompt; Grok can reach current information directly.
\nFor workloads where recency is the requirement \u2014 monitoring, research on breaking topics,
\nanything where a stale answer is a wrong answer \u2014 that is worth paying for in a way that
\nbenchmark scores do not capture.<\/p>\n

Access is entirely proprietary. There are no open weights, and the model runs through the
\nxAI API, the Grok apps and the SuperGrok subscription. xAI has since shipped faster, lower-cost
\nvariants of Grok 4; we list published per-token pricing only for models we have verified, so
\nthis page covers Grok 4 itself.<\/p>\n

Where the 256K context bites<\/h2>\n

The context window is the clearest limitation against direct rivals. Grok 4 offers 256,000
\ntokens where Claude, Gemini and the DeepSeek V4 line all reach roughly 1M. For most
\napplications 256K is more than sufficient \u2014 it is a large book. But for whole-repository
\nreasoning, long document archives or workloads that deliberately avoid a retrieval layer, it
\nis a real constraint at a price point where competitors do not impose one.<\/p>\n

The counterweight is that Grok has no long-context premium. GPT-5.6 Sol bills 2x input and
\n1.5x output above 272K tokens; Gemini 3.1 Pro roughly doubles input above 200K. Grok’s rate is
\nflat across its whole window, so what you see is what you pay.<\/p>\n

Is Grok worth $5.40 blended?<\/h2>\n

It depends almost entirely on whether you need live search. Judged purely on capability per
\ndollar, the comparison is unflattering: the cross-provider table above shows several models at a
\nfraction of the cost, and open-weight flagships now score within a few points of the best closed
\nmodels while charging far less. A team choosing on price alone would not land on Grok.<\/p>\n

Judged on what it uniquely does, the calculation changes. Real-time access to X and the
\nbroader web is not a feature you can replicate by paying a cheaper provider more tokens \u2014 you
\nwould have to build and maintain a retrieval pipeline, which has its own cost and its own
\nfailure modes. If that capability is central to your product, Grok’s pricing is reasonable for
\nthe bracket it sits in.<\/p>\n

If it is not central, treat Grok as a specialist you route specific requests to rather than
\na default. Estimate what that split would cost in the
\nAI API cost calculator<\/a>, and compare
\ncapability against price for every model in the
\nLLM leaderboard<\/a> before committing.<\/p>\n

\n

Frequently asked questions<\/h2>\n
\n
How much does the Grok API cost?<\/summary>

Grok costs $3.00 per 1M input tokens and $15.00 per 1M output on Grok 4, which blends to $5.40 per 1M at a typical 4:1 input-to-output mix. Input and output are billed separately, and output is the more expensive side.<\/p><\/details>\n

How much does Grok cost per month?<\/summary>

At 20M input and 5M output tokens a month, Grok 4 costs about $135. A side project at 1M input and 0.25M output costs a small fraction of that. Use the AI API cost calculator for your own volumes.<\/p><\/details>\n

Is Grok cheaper than Mistral AI?<\/summary>

On entry-level pricing, Grok starts at $5.40 per 1M blended and Mistral AI starts at $0.0220 on Mistral 7B. Mistral AI is the cheaper entry point, though capability differs \u2014 compare both on the leaderboard before switching.<\/p><\/details>\n

Why does Grok charge more for output tokens than input?<\/summary>

Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost more to serve. This is why prompt-heavy workloads such as retrieval and classification are far cheaper to run than generation-heavy ones, and why the blended rate matters more than the headline input price.<\/p><\/details>\n <\/div>\n

Prices are the published list rates for each model's primary API and are reviewed as\n providers change them. Volume, batch and cached-input discounts are not included. Last reviewed\n August 2026.<\/p>\n<\/div>\n\n