As of August 21, 2026, K-EXAONE-236B-A23B API pricing is $0.60 per million input tokens and $1.00 per million output tokens. A typical 100K-in / 20K-out request costs $0.08. Source: https://anotherwrapper.com/tools/llm-pricing
Source: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing)
Input $/M
$0.60
Output $/M
$1.00
Blended / 1M
$1.60
100K / 20K request
$0.08
| Context Window | 32.8K |
|---|---|
| Max Output | 32.8K tokens |
| Release Date | 2025-12-31 |
| Knowledge Cutoff | 2025-10-01 |
| License | Proprietary |
| Throughput | 50 tok/s |
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As of August 21, 2026, K-EXAONE-236B-A23B LG AI Research API pricing is $0.60 per million input tokens and $1.00 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://anotherwrapper.com/tools/llm-pricing
On this page the blended K-EXAONE-236B-A23B API cost is $1.60 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.80.
A typical K-EXAONE-236B-A23B API request with 100K input tokens and 20K output tokens costs about $0.08 at current rates as of August 21, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from LG AI Research can bring the real invoice lower than the public list rate at https://anotherwrapper.com/tools/llm-pricing.
K-EXAONE-236B-A23B supports a 33K token context window and can generate up to 33K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
No. K-EXAONE-236B-A23B is a proprietary model by LG AI Research. The only public way to call it is LG AI Research's API, billed per million input and output tokens. There is no self-host option for the weights.
K-EXAONE-236B-A23B currently reports LiveCodeBench v6 80.7%, IFBench 67.3%, MMMLU 85.7%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
K-EXAONE-236B-A23B has a published knowledge cutoff of 2025-10-01. Facts after that date are not guaranteed to be in the weights. For current events you still need retrieval or tools, which adds input tokens and therefore API cost per million tokens.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated K-EXAONE-236B-A23B vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut K-EXAONE-236B-A23B. Open-weight models can be cheaper still if you self-host, but that is not the same as LG AI Research API pricing on this page.
K-EXAONE-236B-A23B is called through LG AI Research's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for LG AI Research and 5+ other providers with auth, payments, and deployment already configured.
This K-EXAONE-236B-A23B page tracks the latest published LG AI Research API pricing from LG AI Research, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://anotherwrapper.com/tools/llm-pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
K-EXAONE-236B-A23B has a measured throughput of about 50 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.
K-EXAONE-236B-A23B is a proprietary model from LG AI Research. Current API pricing is $0.60 per million input tokens and $1.00 per million output tokens, with a 32.8K token context window. A blended 1M-in / 1M-out workload costs $1.60.
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