diff --git a/README.md b/README.md
index 9f08fb64..8bcfbca4 100644
--- a/README.md
+++ b/README.md
@@ -21,6 +21,7 @@ Chat REPL mode:
   - Gemini (free, vision)
   - Claude: (paid)
   - Mistral (paid)
+  - Cohere (paid)
   - OpenAI-Compatible (local)
   - Ollama (free, local)
   - Azure-OpenAI (paid)
diff --git a/config.example.yaml b/config.example.yaml
index 52a1593e..8d6052d4 100644
--- a/config.example.yaml
+++ b/config.example.yaml
@@ -45,9 +45,14 @@ clients:
   - type: claude
     api_key: sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
+  # See https://docs.mistral.ai/
   - type: mistral
     api_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
+  # See https://docs.cohere.com/docs/the-cohere-platform
+  - type: cohere
+    api_key: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+
   # Any openai-compatible API providers 
   - type: openai-compatible
     name: localai
diff --git a/src/client/cohere.rs b/src/client/cohere.rs
new file mode 100644
index 00000000..ca770352
--- /dev/null
+++ b/src/client/cohere.rs
@@ -0,0 +1,244 @@
+use super::{
+    message::*, patch_system_message, Client, CohereClient, ExtraConfig, Model, PromptType,
+    SendData, TokensCountFactors,
+};
+
+use crate::{render::ReplyHandler, utils::PromptKind};
+
+use anyhow::{bail, Result};
+use async_trait::async_trait;
+use futures_util::StreamExt;
+use reqwest::{Client as ReqwestClient, RequestBuilder};
+use serde::Deserialize;
+use serde_json::{json, Value};
+
+const API_URL: &str = "https://api.cohere.ai/v1/chat";
+
+const MODELS: [(&str, usize, &str); 2] = [
+    // https://docs.cohere.com/docs/command-r
+    ("command-r", 128000, "text"),
+    ("command-r-plus", 128000, "text"),
+];
+
+const TOKENS_COUNT_FACTORS: TokensCountFactors = (5, 2);
+
+#[derive(Debug, Clone, Deserialize, Default)]
+pub struct CohereConfig {
+    pub name: Option<String>,
+    pub api_key: Option<String>,
+    pub extra: Option<ExtraConfig>,
+}
+
+#[async_trait]
+impl Client for CohereClient {
+    client_common_fns!();
+
+    async fn send_message_inner(&self, client: &ReqwestClient, data: SendData) -> Result<String> {
+        let builder = self.request_builder(client, data)?;
+        send_message(builder).await
+    }
+
+    async fn send_message_streaming_inner(
+        &self,
+        client: &ReqwestClient,
+        handler: &mut ReplyHandler,
+        data: SendData,
+    ) -> Result<()> {
+        let builder = self.request_builder(client, data)?;
+        send_message_streaming(builder, handler).await
+    }
+}
+
+impl CohereClient {
+    config_get_fn!(api_key, get_api_key);
+
+    pub const PROMPTS: [PromptType<'static>; 1] =
+        [("api_key", "API Key:", false, PromptKind::String)];
+
+    pub fn list_models(local_config: &CohereConfig) -> Vec<Model> {
+        let client_name = Self::name(local_config);
+        MODELS
+            .into_iter()
+            .map(|(name, max_input_tokens, capabilities)| {
+                Model::new(client_name, name)
+                    .set_capabilities(capabilities.into())
+                    .set_max_input_tokens(Some(max_input_tokens))
+                    .set_tokens_count_factors(TOKENS_COUNT_FACTORS)
+            })
+            .collect()
+    }
+
+    fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
+        let api_key = self.get_api_key().ok();
+
+        let mut body = build_body(data, self.model.name.clone())?;
+        self.model.merge_extra_fields(&mut body);
+
+        let url = API_URL;
+
+        debug!("Cohere Request: {url} {body}");
+
+        let mut builder = client.post(url).json(&body);
+        if let Some(api_key) = api_key {
+            builder = builder.bearer_auth(api_key);
+        }
+
+        Ok(builder)
+    }
+}
+
+pub(crate) async fn send_message(builder: RequestBuilder) -> Result<String> {
+    let res = builder.send().await?;
+    let status = res.status();
+    let data: Value = res.json().await?;
+    if status != 200 {
+        check_error(&data)?;
+    }
+    let output = extract_text(&data)?;
+    Ok(output.to_string())
+}
+
+pub(crate) async fn send_message_streaming(
+    builder: RequestBuilder,
+    handler: &mut ReplyHandler,
+) -> Result<()> {
+    let res = builder.send().await?;
+    if res.status() != 200 {
+        let data: Value = res.json().await?;
+        check_error(&data)?;
+    } else {
+        let mut buffer = vec![];
+        let mut cursor = 0;
+        let mut start = 0;
+        let mut balances = vec![];
+        let mut quoting = false;
+        let mut stream = res.bytes_stream();
+        while let Some(chunk) = stream.next().await {
+            let chunk = chunk?;
+            let chunk = std::str::from_utf8(&chunk)?;
+            buffer.extend(chunk.chars());
+            for i in cursor..buffer.len() {
+                let ch = buffer[i];
+                if quoting {
+                    if ch == '"' && buffer[i - 1] != '\\' {
+                        quoting = false;
+                    }
+                    continue;
+                }
+                match ch {
+                    '"' => quoting = true,
+                    '{' => {
+                        if balances.is_empty() {
+                            start = i;
+                        }
+                        balances.push(ch);
+                    }
+                    '[' => {
+                        if start != 0 {
+                            balances.push(ch);
+                        }
+                    }
+                    '}' => {
+                        balances.pop();
+                        if balances.is_empty() {
+                            let value: String = buffer[start..=i].iter().collect();
+                            let value: Value = serde_json::from_str(&value)?;
+                            if let Some("text-generation") = value["event_type"].as_str() {
+                                handler.text(extract_text(&value)?)?;
+                            }
+                        }
+                    }
+                    ']' => {
+                        balances.pop();
+                    }
+                    _ => {}
+                }
+            }
+            cursor = buffer.len();
+        }
+    }
+    Ok(())
+}
+
+fn extract_text(data: &Value) -> Result<&str> {
+    match data["text"].as_str() {
+        Some(text) => Ok(text),
+        None => {
+            bail!("Invalid response data: {data}")
+        }
+    }
+}
+
+fn check_error(data: &Value) -> Result<()> {
+    if let Some(message) = data["message"].as_str() {
+        bail!("{message}");
+    } else {
+        bail!("Error {}", data);
+    }
+}
+
+pub(crate) fn build_body(data: SendData, model: String) -> Result<Value> {
+    let SendData {
+        mut messages,
+        temperature,
+        stream,
+    } = data;
+
+    patch_system_message(&mut messages);
+
+    let mut image_urls = vec![];
+    let mut messages: Vec<Value> = messages
+        .into_iter()
+        .map(|message| {
+            let role = match message.role {
+                MessageRole::User => "USER",
+                _ => "CHATBOT",
+            };
+            match message.content {
+                MessageContent::Text(text) => json!({
+                    "role": role,
+                    "message": text,
+                }),
+                MessageContent::Array(list) => {
+                    let list: Vec<String> = list
+                        .into_iter()
+                        .filter_map(|item| match item {
+                            MessageContentPart::Text { text } => Some(text),
+                            MessageContentPart::ImageUrl {
+                                image_url: ImageUrl { url },
+                            } => {
+                                image_urls.push(url.clone());
+                                None
+                            }
+                        })
+                        .collect();
+                    json!({ "role": role, "message": list.join("\n\n") })
+                }
+            }
+        })
+        .collect();
+
+    if !image_urls.is_empty() {
+        bail!("The model does not support images: {:?}", image_urls);
+    }
+    let message = messages.pop().unwrap();
+    let message = message["message"].as_str().unwrap_or_default();
+
+    let mut body = json!({
+        "model": model,
+        "message": message,
+    });
+
+    if !messages.is_empty() {
+        body["chat_history"] = messages.into();
+    }
+
+    if let Some(temperature) = temperature {
+        body["temperature"] = temperature.into();
+    }
+    if stream {
+        body["stream"] = true.into();
+    }
+
+    Ok(body)
+}
diff --git a/src/client/mod.rs b/src/client/mod.rs
index 37775f35..d66b2822 100644
--- a/src/client/mod.rs
+++ b/src/client/mod.rs
@@ -12,6 +12,7 @@ register_client!(
     (gemini, "gemini", GeminiConfig, GeminiClient),
     (claude, "claude", ClaudeConfig, ClaudeClient),
     (mistral, "mistral", MistralConfig, MistralClient),
+    (cohere, "cohere", CohereConfig, CohereClient),
     (
         openai_compatible,
         "openai-compatible",