diff --git a/main.go b/main.go
index d58bf1a..11f8261 100644
--- a/main.go
+++ b/main.go
@@ -4,8 +4,8 @@ import (
 	"bytes"
 	"encoding/json"
 	"errors"
-	"fmt"
 	"flag"
+	"fmt"
 	"io"
 	"log/slog"
 	"net/http"
@@ -210,10 +210,10 @@ func runBench(questions []models.Question) ([]models.Answer, error) {
 			logger.Error("failed to parse llm response", "error", err)
 			continue
 		}
-		
+
 		// Process the response to detect tool usage
 		respText, toolCall := processLLMResponse(respText)
-		
+
 		a := models.Answer{
 			Q:        q,
 			Answer:   respText,
@@ -243,7 +243,7 @@ func callLLM(prompt string, apiURL string) ([]byte, error) {
 		}
 	}
 
-	maxRetries := 6
+	maxRetries := 3
 	baseDelay := 2 * time.Second
 
 	for attempt := 0; attempt < maxRetries; attempt++ {
diff --git a/models/models.go b/models/models.go
index 2a1d782..999d16b 100644
--- a/models/models.go
+++ b/models/models.go
@@ -74,6 +74,49 @@ type DSResp struct {
 	Object            string `json:"object"`
 }
 
+// OpenRouter chat completions response (supports tool calls)
+type ORChatRespChoice struct {
+	Index        int    `json:"index"`
+	Message      struct {
+		Role      string     `json:"role"`
+		Content   string     `json:"content"`
+		ToolCalls []ToolCall `json:"tool_calls,omitempty"`
+	} `json:"message"`
+	FinishReason string `json:"finish_reason"`
+}
+
+type ORChatResp struct {
+	ID      string            `json:"id"`
+	Choices []ORChatRespChoice `json:"choices"`
+	Created int               `json:"created"`
+	Model   string            `json:"model"`
+	Object  string            `json:"object"`
+	Usage   struct {
+		PromptTokens     int `json:"prompt_tokens"`
+		CompletionTokens int `json:"completion_tokens"`
+		TotalTokens      int `json:"total_tokens"`
+	} `json:"usage"`
+}
+
+// OpenRouter completions response (text only)
+type ORCompletionResp struct {
+	ID      string `json:"id"`
+	Object  string `json:"object"`
+	Created int    `json:"created"`
+	Model   string `json:"model"`
+	Choices []struct {
+		Text         string `json:"text"`
+		Index        int    `json:"index"`
+		Logprobs     any    `json:"logprobs"`
+		FinishReason string `json:"finish_reason"`
+	} `json:"choices"`
+	Usage struct {
+		PromptTokens     int `json:"prompt_tokens"`
+		CompletionTokens int `json:"completion_tokens"`
+		TotalTokens      int `json:"total_tokens"`
+	} `json:"usage"`
+}
+
 type LLMResp struct {
 	Index           int    `json:"index"`
 	Content         string `json:"content"`
diff --git a/or.go b/or.go
new file mode 100644
index 0000000..db9f821
--- /dev/null
+++ b/or.go
@@ -0,0 +1,86 @@
+package main
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+)
+
+var (
+	ormodelsLink = "https://openrouter.ai/api/v1/models"
+	ORFreeModels = []string{
+		"google/gemini-2.0-flash-exp:free",
+		"deepseek/deepseek-chat-v3-0324:free",
+		"mistralai/mistral-small-3.2-24b-instruct:free",
+		"qwen/qwen3-14b:free",
+		"google/gemma-3-27b-it:free",
+		"meta-llama/llama-3.3-70b-instruct:free",
+	}
+)
+
+type ORModel struct {
+	ID            string `json:"id"`
+	CanonicalSlug string `json:"canonical_slug"`
+	HuggingFaceID string `json:"hugging_face_id"`
+	Name          string `json:"name"`
+	Created       int    `json:"created"`
+	Description   string `json:"description"`
+	ContextLength int    `json:"context_length"`
+	Architecture  struct {
+		Modality         string   `json:"modality"`
+		InputModalities  []string `json:"input_modalities"`
+		OutputModalities []string `json:"output_modalities"`
+		Tokenizer        string   `json:"tokenizer"`
+		InstructType     any      `json:"instruct_type"`
+	} `json:"architecture"`
+	Pricing struct {
+		Prompt            string `json:"prompt"`
+		Completion        string `json:"completion"`
+		Request           string `json:"request"`
+		Image             string `json:"image"`
+		Audio             string `json:"audio"`
+		WebSearch         string `json:"web_search"`
+		InternalReasoning string `json:"internal_reasoning"`
+	} `json:"pricing,omitempty"`
+	TopProvider struct {
+		ContextLength       int  `json:"context_length"`
+		MaxCompletionTokens int  `json:"max_completion_tokens"`
+		IsModerated         bool `json:"is_moderated"`
+	} `json:"top_provider"`
+	PerRequestLimits    any      `json:"per_request_limits"`
+	SupportedParameters []string `json:"supported_parameters"`
+}
+
+// https://openrouter.ai/api/v1/models
+type ORModels struct {
+	Data []ORModel `json:"data"`
+}
+
+func (orm *ORModels) ListFree() []string {
+	resp := []string{}
+	for _, model := range orm.Data {
+		if model.Pricing.Prompt == "0" && model.Pricing.Request == "0" &&
+			model.Pricing.Completion == "0" {
+			resp = append(resp, model.ID)
+		}
+	}
+	return resp
+}
+
+func ListORModels() ([]string, error) {
+	resp, err := http.Get(ormodelsLink)
+	if err != nil {
+		return nil, err
+	}
+	defer resp.Body.Close()
+	if resp.StatusCode != 200 {
+		err := fmt.Errorf("failed to fetch or models; status: %s", resp.Status)
+		return nil, err
+	}
+	data := &ORModels{}
+	if err := json.NewDecoder(resp.Body).Decode(data); err != nil {
+		return nil, err
+	}
+	freeModels := data.ListFree()
+	return freeModels, nil
+}
diff --git a/parser.go b/parser.go
index d4df06e..81a5c0e 100644
--- a/parser.go
+++ b/parser.go
@@ -152,68 +152,99 @@ func (p *lcpRespParser) MakePayload(prompt string) io.Reader {
 type openRouterParser struct {
 	log        *slog.Logger
 	modelIndex uint32
+	useChatAPI bool
+	supportsTools bool
 }
 
 func NewOpenRouterParser(log *slog.Logger) *openRouterParser {
 	return &openRouterParser{
 		log:        log,
 		modelIndex: 0,
+		useChatAPI: false, // Default to completion API which is more widely supported
+		supportsTools: false, // Don't assume tool support
 	}
 }
 
 func (p *openRouterParser) ParseBytes(body []byte) (string, error) {
-	// parsing logic here
-	resp := models.DSResp{}
-	if err := json.Unmarshal(body, &resp); err != nil {
-		p.log.Error("failed to unmarshal", "error", err)
-		return "", err
-	}
-	if len(resp.Choices) == 0 {
-		p.log.Error("empty choices", "resp", resp)
-		err := errors.New("empty choices in resp")
-		return "", err
-	}
-	
-	// Check if the response contains tool calls
-	choice := resp.Choices[0]
-	
-	// Handle response with message field (OpenAI format)
-	if choice.Message.Role != "" {
+	// If using chat API, parse as chat completion response (supports tool calls)
+	if p.useChatAPI {
+		resp := models.ORChatResp{}
+		if err := json.Unmarshal(body, &resp); err != nil {
+			p.log.Error("failed to unmarshal openrouter chat response", "error", err)
+			return "", err
+		}
+		if len(resp.Choices) == 0 {
+			p.log.Error("empty choices in openrouter chat response", "resp", resp)
+			err := errors.New("empty choices in openrouter chat response")
+			return "", err
+		}
+		
+		choice := resp.Choices[0]
+		
+		// Check if the response contains tool calls
 		if len(choice.Message.ToolCalls) > 0 {
 			// Handle tool call response
 			toolCall := choice.Message.ToolCalls[0]
 			// Return a special marker indicating tool usage
 			return fmt.Sprintf("[TOOL_CALL:%s]", toolCall.Function.Name), nil
 		}
+		
 		// Regular text response
 		return choice.Message.Content, nil
 	}
 	
-	// Handle response with text field (legacy format)
-	return choice.Text, nil
+	// If using completion API, parse as text completion response (no tool calls)
+	resp := models.ORCompletionResp{}
+	if err := json.Unmarshal(body, &resp); err != nil {
+		p.log.Error("failed to unmarshal openrouter completion response", "error", err)
+		return "", err
+	}
+	if len(resp.Choices) == 0 {
+		p.log.Error("empty choices in openrouter completion response", "resp", resp)
+		err := errors.New("empty choices in openrouter completion response")
+		return "", err
+	}
+	
+	// Return the text content
+	return resp.Choices[0].Text, nil
 }
 
 func (p *openRouterParser) MakePayload(prompt string) io.Reader {
-	// Models to rotate through
-	// TODO: to config
-	model := "deepseek/deepseek-r1:free"
-	// Get next model index using atomic addition for thread safety
-	p.modelIndex++
+	if p.useChatAPI {
+		// Use chat completions API with messages format (supports tool calls)
+		payload := struct {
+			Model    string         `json:"model"`
+			Messages []models.RoleMsg `json:"messages"`
+		}{
+			Model: "openai/gpt-4o-mini",
+			Messages: []models.RoleMsg{
+				{Role: "user", Content: prompt},
+			},
+		}
+
+		b, err := json.Marshal(payload)
+		if err != nil {
+			p.log.Error("failed to marshal openrouter chat payload", "error", err)
+			return nil
+		}
+		p.log.Debug("made openrouter chat payload", "payload", string(b))
+		return bytes.NewReader(b)
+	}
+	
+	// Use completions API with prompt format (no tool calls)
 	payload := struct {
-		Model  string        `json:"model"`
-		Prompt string        `json:"prompt"`
-		Tools  []models.Tool `json:"tools,omitempty"`
+		Model  string `json:"model"`
+		Prompt string `json:"prompt"`
 	}{
-		Model:  model,
+		Model:  "openai/gpt-4o-mini",
 		Prompt: prompt,
-		Tools:  baseTools, // Include the tools in the request
 	}
 
 	b, err := json.Marshal(payload)
 	if err != nil {
-		p.log.Error("failed to marshal openrouter payload", "error", err)
+		p.log.Error("failed to marshal openrouter completion payload", "error", err)
 		return nil
 	}
-	p.log.Debug("made openrouter payload", "model", model, "payload", string(b))
+	p.log.Debug("made openrouter completion payload", "payload", string(b))
 	return bytes.NewReader(b)
 }