feat(backend): Add new LLM models (#10512)

## Summary
This adds 10 new LLM's to the platform!

I have added the model names, metadata like max input and output and the
price for each model!

- GROK_4
- KIMI_K2
- QWEN3_235B_A22B_THINKING
- QWEN3_CODER
- GEMINI_2_5_FLASH
- GEMINI_2_0_FLASH
- GEMINI_2_5_FLASH_LITE_PREVIEW
- GEMINI_2_0_FLASH_LITE
- DEEPSEEK_R1_0528
- GPT41_MINI

## Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - [x] Test and verify all the models work!

autogpt_platform/backend/backend/blocks/llm.py

@@ -82,6 +82,7 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     O1 = "o1"
     O1_MINI = "o1-mini"
     GPT41 = "gpt-4.1-2025-04-14"
+    GPT41_MINI = "gpt-4.1-mini-2025-04-14"
     GPT4O_MINI = "gpt-4o-mini"
     GPT4O = "gpt-4o"
     GPT4_TURBO = "gpt-4-turbo"
@@ -116,10 +117,15 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     # OpenRouter models
     GEMINI_FLASH_1_5 = "google/gemini-flash-1.5"
     GEMINI_2_5_PRO = "google/gemini-2.5-pro-preview-03-25"
+    GEMINI_2_5_FLASH = "google/gemini-2.5-flash"
+    GEMINI_2_0_FLASH = "google/gemini-2.0-flash-001"
+    GEMINI_2_5_FLASH_LITE_PREVIEW = "google/gemini-2.5-flash-lite-preview-06-17"
+    GEMINI_2_0_FLASH_LITE = "google/gemini-2.0-flash-lite-001"
     MISTRAL_NEMO = "mistralai/mistral-nemo"
     COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024"
     COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024"
     DEEPSEEK_CHAT = "deepseek/deepseek-chat"  # Actually: DeepSeek V3
+    DEEPSEEK_R1_0528 = "deepseek/deepseek-r1-0528"
     PERPLEXITY_SONAR = "perplexity/sonar"
     PERPLEXITY_SONAR_PRO = "perplexity/sonar-pro"
     PERPLEXITY_SONAR_DEEP_RESEARCH = "perplexity/sonar-deep-research"
@@ -132,6 +138,10 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
     GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b"
     META_LLAMA_4_SCOUT = "meta-llama/llama-4-scout"
     META_LLAMA_4_MAVERICK = "meta-llama/llama-4-maverick"
+    GROK_4 = "x-ai/grok-4"
+    KIMI_K2 = "moonshotai/kimi-k2"
+    QWEN3_235B_A22B_THINKING = "qwen/qwen3-235b-a22b-thinking-2507"
+    QWEN3_CODER = "qwen/qwen3-coder"
     # Llama API models
     LLAMA_API_LLAMA_4_SCOUT = "Llama-4-Scout-17B-16E-Instruct-FP8"
     LLAMA_API_LLAMA4_MAVERICK = "Llama-4-Maverick-17B-128E-Instruct-FP8"
@@ -162,6 +172,7 @@ MODEL_METADATA = {
     LlmModel.O1: ModelMetadata("openai", 200000, 100000),  # o1-2024-12-17
     LlmModel.O1_MINI: ModelMetadata("openai", 128000, 65536),  # o1-mini-2024-09-12
     LlmModel.GPT41: ModelMetadata("openai", 1047576, 32768),
+    LlmModel.GPT41_MINI: ModelMetadata("openai", 1047576, 32768),
     LlmModel.GPT4O_MINI: ModelMetadata(
         "openai", 128000, 16384
     ),  # gpt-4o-mini-2024-07-18
@@ -211,10 +222,17 @@ MODEL_METADATA = {
     # https://openrouter.ai/models
     LlmModel.GEMINI_FLASH_1_5: ModelMetadata("open_router", 1000000, 8192),
     LlmModel.GEMINI_2_5_PRO: ModelMetadata("open_router", 1050000, 8192),
+    LlmModel.GEMINI_2_5_FLASH: ModelMetadata("open_router", 1048576, 65535),
+    LlmModel.GEMINI_2_0_FLASH: ModelMetadata("open_router", 1048576, 8192),
+    LlmModel.GEMINI_2_5_FLASH_LITE_PREVIEW: ModelMetadata(
+        "open_router", 1048576, 65535
+    ),
+    LlmModel.GEMINI_2_0_FLASH_LITE: ModelMetadata("open_router", 1048576, 8192),
     LlmModel.MISTRAL_NEMO: ModelMetadata("open_router", 128000, 4096),
     LlmModel.COHERE_COMMAND_R_08_2024: ModelMetadata("open_router", 128000, 4096),
     LlmModel.COHERE_COMMAND_R_PLUS_08_2024: ModelMetadata("open_router", 128000, 4096),
     LlmModel.DEEPSEEK_CHAT: ModelMetadata("open_router", 64000, 2048),
+    LlmModel.DEEPSEEK_R1_0528: ModelMetadata("open_router", 163840, 163840),
     LlmModel.PERPLEXITY_SONAR: ModelMetadata("open_router", 127000, 127000),
     LlmModel.PERPLEXITY_SONAR_PRO: ModelMetadata("open_router", 200000, 8000),
     LlmModel.PERPLEXITY_SONAR_DEEP_RESEARCH: ModelMetadata(
@@ -235,6 +253,10 @@ MODEL_METADATA = {
     LlmModel.GRYPHE_MYTHOMAX_L2_13B: ModelMetadata("open_router", 4096, 4096),
     LlmModel.META_LLAMA_4_SCOUT: ModelMetadata("open_router", 131072, 131072),
     LlmModel.META_LLAMA_4_MAVERICK: ModelMetadata("open_router", 1048576, 1000000),
+    LlmModel.GROK_4: ModelMetadata("open_router", 256000, 256000),
+    LlmModel.KIMI_K2: ModelMetadata("open_router", 131000, 131000),
+    LlmModel.QWEN3_235B_A22B_THINKING: ModelMetadata("open_router", 262144, 262144),
+    LlmModel.QWEN3_CODER: ModelMetadata("open_router", 262144, 262144),
     # Llama API models
     LlmModel.LLAMA_API_LLAMA_4_SCOUT: ModelMetadata("llama_api", 128000, 4028),
     LlmModel.LLAMA_API_LLAMA4_MAVERICK: ModelMetadata("llama_api", 128000, 4028),

autogpt_platform/backend/backend/data/block_cost_config.py

@@ -49,6 +49,7 @@ MODEL_COST: dict[LlmModel, int] = {
     LlmModel.O1: 16,  # $15 / $60
     LlmModel.O1_MINI: 4,
     LlmModel.GPT41: 2,
+    LlmModel.GPT41_MINI: 1,
     LlmModel.GPT4O_MINI: 1,
     LlmModel.GPT4O: 3,
     LlmModel.GPT4_TURBO: 10,
@@ -97,6 +98,15 @@ MODEL_COST: dict[LlmModel, int] = {
     LlmModel.LLAMA_API_LLAMA4_MAVERICK: 1,
     LlmModel.LLAMA_API_LLAMA3_3_8B: 1,
     LlmModel.LLAMA_API_LLAMA3_3_70B: 1,
+    LlmModel.GROK_4: 9,
+    LlmModel.KIMI_K2: 1,
+    LlmModel.QWEN3_235B_A22B_THINKING: 1,
+    LlmModel.QWEN3_CODER: 9,
+    LlmModel.GEMINI_2_5_FLASH: 1,
+    LlmModel.GEMINI_2_0_FLASH: 1,
+    LlmModel.GEMINI_2_5_FLASH_LITE_PREVIEW: 1,
+    LlmModel.GEMINI_2_0_FLASH_LITE: 1,
+    LlmModel.DEEPSEEK_R1_0528: 1,
 }
 
 for model in LlmModel: