diff --git a/README.md b/README.md
index de80621b57e7ebc56609b1f79963a3d36a33d5c3..4380753a96892ccd42fb5e6da7d53af163f8765e 100644
--- a/README.md
+++ b/README.md
@@ -84,7 +84,7 @@ is set to $0.7$.
 Newt Figure presents a violin plot illustrating the share of the
 total amount (\$100) that the dictator allocates to themselves for each model.
 The median share taken by <tt>GPT-4.5</tt>, <tt>Llama3</tt>,
-<tt>Mistral-Small</tt>, and <tt>DeepSeek-R1</tt> through one-shot decisions is
+<tt>Mistral-Small</tt>, <tt>DeepSeek-R1</tt> and <tt>Qwen3</tt> through one-shot decisions is
 \$50, likely due to a corpus-based biases like term frequency. 
 The median share taken by <tt>mixtral:8x7b</tt>, <tt>Llama3.3:latest</tt>,
 is \$60. When we ask the
diff --git a/data/dictator/dictator.csv b/data/dictator/dictator.csv
index d5dad52a49bf6b0dc939fad9ee22d83d29a0ee26..c126caf7c4a4e61d4121306a10b4e43bf5d10c53 100644
--- a/data/dictator/dictator.csv
+++ b/data/dictator/dictator.csv
@@ -209,3 +209,33 @@ iteration,model,temperature,amount,my_share,other_share,motivation
 28,deepseek-r1:7b,0.7,100,50,50,"I chose to split the points equally because fairness often leads to mutual satisfaction in such situations. By allocating 50% each, we ensure that neither party feels exploited or undervalued."
 29,deepseek-r1:7b,0.7,100,50,50,"Equal allocation promotes fairness and mutual satisfaction."
 30,deepseek-r1:7b,0.7,100,50,50,"The decision to allocate equally was made as a fair choice without knowledge of specific returns, aiming for balance and avoiding strategic advantage."
+1,qwen3,0.7,100,50,50,"I believe in fair distribution, so I choose to split the points equally."
+2,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and maximize overall returns."
+3,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and maximize overall returns."
+4,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and mutual benefit."
+5,qwen3,0.7,100,50,50,"I want to split the points evenly to ensure fairness and mutual benefit."
+6,qwen3,0.7,100,50,50,"I want to split the points equally to show fairness and ensure both parties benefit."
+7,qwen3,0.7,100,60,40,"I aim to be fair but also consider my own needs."
+8,qwen3,0.7,100,50,50,"I want to split the points equally because fairness is important to me."
+9,qwen3,0.7,100,50,50,"I want to split the points equally because fairness is important to me."
+10,qwen3,0.7,100,50,50,"I want to split the points equally to be fair."
+11,qwen3,0.7,100,50,50,"I want to be fair and ensure both parties get equal returns."
+12,qwen3,0.7,100,60,40,"I want to allocate 60 points to myself and 40 to the other person. My motivation is to ensure a fair split while also maximizing my own benefit."
+13,qwen3,0.7,100,60,40,"I want to be fair but also ensure I get a reasonable share."
+14,qwen3,0.7,100,50,50,"I want to split the points equally to show fairness and maximize the total return."
+15,qwen3,0.7,100,70,30,"I want to allocate 70 points to myself and 30 points to the other person. My motivation is to ensure a fair split while also taking a larger share since I believe in contributing more."
+16,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and mutual benefit."
+17,qwen3,0.7,100,50,50,"I want to split the points evenly to ensure fairness and maximize mutual benefit."
+18,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and mutual benefit."
+19,qwen3,0.7,100,50,50,"I want to be fair and allocate equal points to both myself and the other person."
+20,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness."
+21,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and maximize overall return."
+22,qwen3,0.7,100,50,50,"splitting equally seems fair"
+23,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and mutual benefit."
+24,qwen3,0.7,100,50,50,"I want to be fair and ensure both parties receive equal returns."
+25,qwen3,0.7,100,50,50,"I want to split the points equally to show fairness and ensure both parties benefit."
+26,qwen3,0.7,100,50,50,"I want to be fair and distribute the points equally between myself and the other person."
+27,qwen3,0.7,100,50,50,"I want to split the points equally to be fair."
+28,qwen3,0.7,100,50,50,"I want to be fair and ensure both parties get equal returns."
+29,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and maintain a balanced outcome for both parties."
+30,qwen3,0.7,100,50,50,"I want to split the points equally to ensure fairness and mutual benefit."
diff --git a/figures/dictator/dictator_violin.svg b/figures/dictator/dictator_violin.svg
index a46abee1fadbb955c5ee4582565ef7dd58f52887..5d05687cd5cdd0d0294ea1c42779123487040d3c 100644
--- a/figures/dictator/dictator_violin.svg
+++ b/figures/dictator/dictator_violin.svg
@@ -6,11 +6,11 @@
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-    <dc:date>2025-03-26T18:49:22.774913</dc:date>
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+    <path d="M 618.631272 218.16 
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+   <g id="line2d_35">
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+   </g>
+   <g id="line2d_36">
+    <path d="M 702.303612 218.16 
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+   </g>
+   <g id="line2d_37">
     <path d="M 108 151.632 
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+" clip-path="url(#pe3dc3e38a7)" style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #7abaff; stroke-width: 2"/>
    </g>
-   <g id="line2d_34">
+   <g id="line2d_38">
     <path d="M 108 218.16 
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+" clip-path="url(#pe3dc3e38a7)" style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #32a68c; stroke-width: 2"/>
    </g>
-   <g id="line2d_35">
+   <g id="line2d_39">
     <path d="M 108 218.16 
 L 777.6 218.16 
-" clip-path="url(#pae069f7b54)" style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #ff6941; stroke-width: 2"/>
+" clip-path="url(#pe3dc3e38a7)" style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #ff6941; stroke-width: 2"/>
    </g>
-   <g id="line2d_36">
+   <g id="line2d_40">
     <path d="M 108 218.16 
 L 777.6 218.16 
-" clip-path="url(#pae069f7b54)" style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #5862ed; stroke-width: 2"/>
+" clip-path="url(#pe3dc3e38a7)" style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #5862ed; stroke-width: 2"/>
    </g>
    <g id="patch_3">
     <path d="M 108 384.48 
@@ -2507,7 +2778,7 @@ L 777.6 384.48
 L 777.6 51.84 
 " style="fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square"/>
    </g>
-   <g id="text_16">
+   <g id="text_17">
     <!-- Distribution of personal share by model in the dictator game -->
     <g transform="translate(260.637187 45.84) scale(0.12 -0.12)">
      <defs>
@@ -2638,27 +2909,27 @@ z
    </g>
    <g id="legend_1">
     <g id="patch_7">
-     <path d="M 115 118.5525 
-L 332.7625 118.5525 
-Q 334.7625 118.5525 334.7625 116.5525 
-L 334.7625 58.84 
-Q 334.7625 56.84 332.7625 56.84 
-L 115 56.84 
-Q 113 56.84 113 58.84 
-L 113 116.5525 
-Q 113 118.5525 115 118.5525 
+     <path d="M 115 379.48 
+L 332.7625 379.48 
+Q 334.7625 379.48 334.7625 377.48 
+L 334.7625 319.7675 
+Q 334.7625 317.7675 332.7625 317.7675 
+L 115 317.7675 
+Q 113 317.7675 113 319.7675 
+L 113 377.48 
+Q 113 379.48 115 379.48 
 z
 " style="fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter"/>
     </g>
-    <g id="line2d_37">
-     <path d="M 117 64.938438 
-L 127 64.938438 
-L 137 64.938438 
+    <g id="line2d_41">
+     <path d="M 117 325.865937 
+L 127 325.865937 
+L 137 325.865937 
 " style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #7abaff; stroke-width: 2"/>
     </g>
-    <g id="text_17">
+    <g id="text_18">
      <!-- gpt-4.5-preview-2025-02-27 strategy -->
-     <g transform="translate(145 68.438438) scale(0.1 -0.1)">
+     <g transform="translate(145 329.365937) scale(0.1 -0.1)">
       <use xlink:href="#DejaVuSans-67"/>
       <use xlink:href="#DejaVuSans-70" transform="translate(63.476562 0)"/>
       <use xlink:href="#DejaVuSans-74" transform="translate(126.953125 0)"/>
@@ -2696,15 +2967,15 @@ L 137 64.938438
       <use xlink:href="#DejaVuSans-79" transform="translate(1798.433594 0)"/>
      </g>
     </g>
-    <g id="line2d_38">
-     <path d="M 117 79.616563 
-L 127 79.616563 
-L 137 79.616563 
+    <g id="line2d_42">
+     <path d="M 117 340.544062 
+L 127 340.544062 
+L 137 340.544062 
 " style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #32a68c; stroke-width: 2"/>
     </g>
-    <g id="text_18">
+    <g id="text_19">
      <!-- llama3 strategy -->
-     <g transform="translate(145 83.116563) scale(0.1 -0.1)">
+     <g transform="translate(145 344.044062) scale(0.1 -0.1)">
       <use xlink:href="#DejaVuSans-6c"/>
       <use xlink:href="#DejaVuSans-6c" transform="translate(27.783203 0)"/>
       <use xlink:href="#DejaVuSans-61" transform="translate(55.566406 0)"/>
@@ -2722,15 +2993,15 @@ L 137 79.616563
       <use xlink:href="#DejaVuSans-79" transform="translate(728.857422 0)"/>
      </g>
     </g>
-    <g id="line2d_39">
-     <path d="M 117 94.294688 
-L 127 94.294688 
-L 137 94.294688 
+    <g id="line2d_43">
+     <path d="M 117 355.222188 
+L 127 355.222188 
+L 137 355.222188 
 " style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #ff6941; stroke-width: 2"/>
     </g>
-    <g id="text_19">
+    <g id="text_20">
      <!-- mistral-small strategy -->
-     <g transform="translate(145 97.794688) scale(0.1 -0.1)">
+     <g transform="translate(145 358.722188) scale(0.1 -0.1)">
       <use xlink:href="#DejaVuSans-6d"/>
       <use xlink:href="#DejaVuSans-69" transform="translate(97.412109 0)"/>
       <use xlink:href="#DejaVuSans-73" transform="translate(125.195312 0)"/>
@@ -2755,15 +3026,15 @@ L 137 94.294688
       <use xlink:href="#DejaVuSans-79" transform="translate(1038.818359 0)"/>
      </g>
     </g>
-    <g id="line2d_40">
-     <path d="M 117 108.972813 
-L 127 108.972813 
-L 137 108.972813 
+    <g id="line2d_44">
+     <path d="M 117 369.900312 
+L 127 369.900312 
+L 137 369.900312 
 " style="fill: none; stroke-dasharray: 7.4,3.2; stroke-dashoffset: 0; stroke: #5862ed; stroke-width: 2"/>
     </g>
-    <g id="text_20">
+    <g id="text_21">
      <!-- deepseek-r1 strategy -->
-     <g transform="translate(145 112.472813) scale(0.1 -0.1)">
+     <g transform="translate(145 373.400312) scale(0.1 -0.1)">
       <use xlink:href="#DejaVuSans-64"/>
       <use xlink:href="#DejaVuSans-65" transform="translate(63.476562 0)"/>
       <use xlink:href="#DejaVuSans-65" transform="translate(125 0)"/>
@@ -2790,7 +3061,7 @@ L 137 108.972813
   </g>
  </g>
  <defs>
-  <clipPath id="pae069f7b54">
+  <clipPath id="pe3dc3e38a7">
    <rect x="108" y="51.84" width="669.6" height="332.64"/>
   </clipPath>
  </defs>
diff --git a/src/dictator/dictator.py b/src/dictator/dictator.py
index 65fa8573856d991ddc979a1e30e298546c738b10..40d831c70c48a24d0e911b474f71ead48f2c6b53 100644
--- a/src/dictator/dictator.py
+++ b/src/dictator/dictator.py
@@ -71,6 +71,7 @@ class Dictator:
             response_format=AgentResponse
         )
 
+
     async def run(self) -> Dict:
         """Runs the model if strategy is False, otherwise uses a classical method."""
         if self.strategy:
@@ -104,30 +105,35 @@ class Dictator:
             )
 
             try:
-                # Debug: print the raw response to check if fields are missing or named differently
-                print(f"Raw response (Attempt {attempt + 1}): {response}")
-
-                # Extract the JSON portion from the response string using regex
-                response_json_str = re.search(r'```json\n(.*?)\n```', response['response'], re.DOTALL)
-
-                if response_json_str:
-                    # Parse the extracted JSON string into a dictionary
-                    response_json = json.loads(response_json_str.group(1))
+                # Correct: get the content from the chat message
+                raw_text = response.chat_message.content
+
+                # Debug: show the raw content
+                print(f"Raw content (Attempt {attempt + 1}): {raw_text}")
+
+                # Try to load JSON directly
+                try:
+                    response_json = json.loads(raw_text)
+                except json.JSONDecodeError:
+                    # If it's wrapped in ```json ... ```, extract it
+                    match = re.search(r'```json\s*(.*?)\s*```', raw_text, re.DOTALL)
+                    if match:
+                        response_json = json.loads(match.group(1))
+                    else:
+                        print(f"Could not parse JSON from response (Attempt {attempt + 1})")
+                        continue
 
-                    # Create the AgentResponse object from the parsed response JSON
-                    agent_response = AgentResponse(**response_json)
-                    my_share, other_share = agent_response.my_share, agent_response.other_share
+                agent_response = AgentResponse(**response_json)
+                my_share, other_share = agent_response.my_share, agent_response.other_share
 
-                    # Validate the response
-                    if 0 <= my_share <= self.amount and 0 <= other_share <= self.amount and my_share + other_share <= self.amount:
-                        return agent_response.dict()
-                    else:
-                        print(f"Invalid response detected (Attempt {attempt + 1}): {response_json}")
+                # Validate shares
+                if 0 <= my_share <= self.amount and 0 <= other_share <= self.amount and my_share + other_share <= self.amount:
+                    return agent_response.dict()
                 else:
-                    print(f"JSON not found in response (Attempt {attempt + 1})")
+                    print(f"Invalid values in response (Attempt {attempt + 1}): {response_json}")
 
             except Exception as e:
-                print(f"Error in OpenAI request (Attempt {attempt + 1}): {e}")
+                print(f"Error in OpenAI response handling (Attempt {attempt + 1}): {e}")
 
         raise ValueError("Model failed to provide a valid response after multiple attempts.")
 
@@ -253,6 +259,6 @@ class Dictator:
 
 # Run the async function and return the response
 if __name__ == "__main__":
-    agent = Dictator(amount=100, model="deepseek-r1:7b", temperature=0.7, strategy=False)  #  "llama3.3:latest", "mixtral:8x7b"
+    agent = Dictator(amount=100, model="qwen3", temperature=0.7, strategy=False)  #  "llama3.3:latest", "mixtral:8x7b"
     response_json = asyncio.run(agent.run())
     print(response_json)
\ No newline at end of file
diff --git a/src/dictator/dictator_draw_violin.py b/src/dictator/dictator_draw_violin.py
index 7fe169a4e8edb37fcca07c134f8291e1b38993ac..de8705ca05d49c4f61538e5e17aeee9559fb16f2 100644
--- a/src/dictator/dictator_draw_violin.py
+++ b/src/dictator/dictator_draw_violin.py
@@ -4,13 +4,15 @@ import seaborn as sns
 
 # Definition of the color palette
 color_palette = {
+    'random': '#333333',  # Black
     'gpt-4.5-preview-2025-02-27': '#7abaff',  # BlueEscape
     'llama3': '#32a68c',  # GreenFuture
     'llama3.3:latest': '#4b9f7d',  # GreenLlama3.3
     'mistral-small': '#ff6941',  # WarmOrange
     'mixtral:8x7b': '#f1a61a',  # YellowMixtral
     'deepseek-r1': '#5862ed',  # InclusiveIndigo
-    'deepseek-r1:7b': '#9a7bff'  # PurpleDeepseek-r1:7b
+    'deepseek-r1:7b': '#9a7bff',  # PurpleDeepseek-r1:7b
+    'qwen3': '#c02942'
 }
 
 # Load the data
@@ -21,7 +23,8 @@ model_order = [
     'gpt-4.5-preview-2025-02-27',
     'llama3', 'llama3.3:latest',  # Place llama3 and llama3.3:latest together
     'mistral-small', 'mixtral:8x7b',  # Bring mistral-small and mixtral:8x7b closer
-    'deepseek-r1', 'deepseek-r1:7b'
+    'deepseek-r1', 'deepseek-r1:7b',
+    'qwen3'
 ]
 
 # Create the violin plot
diff --git a/src/dictator/dictator_experiments.py b/src/dictator/dictator_experiments.py
index b11cc390d43095a8abd0874b19833f760466c02c..a74b4291bbeafdb889da885ad619fddaedf1ca40 100644
--- a/src/dictator/dictator_experiments.py
+++ b/src/dictator/dictator_experiments.py
@@ -41,7 +41,7 @@ class DictatorExperiment:
 
 # Running the experiment
 if __name__ == "__main__":
-    models = ["mixtral:8x7b", "llama3.3:latest", "deepseek-r1:7b"] # "gpt-4.5-preview-2025-02-27" "llama3", "mistral-small", "deepseek-r1"
+    models = ["qwen3"] # "gpt-4.5-preview-2025-02-27" "llama3", "mistral-small", "deepseek-r1", "mixtral:8x7b", "llama3.3:latest", "deepseek-r1:7b"
     temperature = 0.7
     amount = 100
     iterations = 30
diff --git a/src/investment/investment.py b/src/investment/investment.py
index 90ad7dda8e81fd07f8cd1e9c7222bd7377acd8f7..2c84237e14af34bdd984fb262060e60a536e71a6 100644
--- a/src/investment/investment.py
+++ b/src/investment/investment.py
@@ -281,6 +281,6 @@ class Investment:
 
 # Run the async function and return the response
 if __name__ == "__main__":
-    game_agent = Investment(model="mistral-small", temperature=0.0)
+    game_agent = Investment(model="deepseek-r1", temperature=0.0)
     response = asyncio.run(game_agent.run_rounds(30))
     print(response)