chore(sync): update Runware model catalog

models/llm/_position.yaml

@@ -1,16 +1,12 @@
 - google-gemini-3-1-flash-lite
 - google-gemini-3-1-pro
-- minimax-m2-5
-- zai-glm-4-7
 - minimax-m2-7-highspeed
 - minimax-m2-7
 - google-gemini-3-flash
 - openai-gpt-5-4
 - openai-gpt-5-4-mini
 - openai-gpt-5-4-nano
 - openai-gpt-5-4-pro
-- qwen35_397b_a17b_fp8
-- qwen35_27b_fp8
 - zai-glm-5-1
 - anthropic-claude-opus-4-7
 - anthropic-claude-sonnet-4-6
@@ -27,3 +23,9 @@
 - deepseek-v4-pro
 - openai-gpt-5-mini
 - openai-gpt-5-nano
+- openai-gpt-5-1
+- openai-gpt-5-6-luna
+- openai-gpt-5-6-sol
+- openai-gpt-5-6-terra
+- openai-gpt-oss-120b
+- zai-glm-5-2

models/llm/moonshotai-kimi-k2-6.yaml

@@ -40,7 +40,7 @@ parameter_rules:
   - text
   - json_object
 pricing:
-  input: '0.9'
-  output: '4.2'
+  input: '0.6'
+  output: '3.05'
   unit: '0.000001'
   currency: USD

models/llm/zai-glm-4-7.yaml → models/llm/openai-gpt-5-1.yaml

@@ -1,45 +1,27 @@
-model: zai-glm-4-7
+model: openai-gpt-5-1
 label:
-  en_US: GLM-4.7
+  en_US: openai-gpt-5-1
 model_type: llm
 features:
 - agent-thought
 - tool-call
-- multi-tool-call
 - stream-tool-call
-- structured-output
 model_properties:
   mode: chat
-  context_size: 200000
+  context_size: ''
 parameter_rules:
 - name: temperature
   use_template: temperature
-  type: float
 - name: top_p
   use_template: top_p
-  type: float
 - name: frequency_penalty
   use_template: frequency_penalty
-  type: float
 - name: presence_penalty
   use_template: presence_penalty
-  type: float
 - name: max_tokens
   use_template: max_tokens
-  type: int
-  default: 1024
-  min: 1
-  max: 131072
-- name: response_format
-  label:
-    en_US: Response Format
-  type: string
-  required: false
-  options:
-  - text
-  - json_object
 pricing:
-  input: '0.34'
-  output: '1.487'
+  input: '1.25'
+  output: '10'
   unit: '0.000001'
   currency: USD

models/llm/minimax-m2-5.yaml → models/llm/openai-gpt-5-6-luna.yaml

@@ -1,45 +1,27 @@
-model: minimax-m2-5
+model: openai-gpt-5-6-luna
 label:
-  en_US: MiniMax M2.5
+  en_US: openai-gpt-5-6-luna
 model_type: llm
 features:
 - agent-thought
 - tool-call
-- multi-tool-call
 - stream-tool-call
-- structured-output
 model_properties:
   mode: chat
-  context_size: 204800
+  context_size: ''
 parameter_rules:
 - name: temperature
   use_template: temperature
-  type: float
 - name: top_p
   use_template: top_p
-  type: float
 - name: frequency_penalty
   use_template: frequency_penalty
-  type: float
 - name: presence_penalty
   use_template: presence_penalty
-  type: float
 - name: max_tokens
   use_template: max_tokens
-  type: int
-  default: 1024
-  min: 1
-  max: 196608
-- name: response_format
-  label:
-    en_US: Response Format
-  type: string
-  required: false
-  options:
-  - text
-  - json_object
 pricing:
-  input: '0.127'
-  output: '0.765'
+  input: '1'
+  output: '6'
   unit: '0.000001'
   currency: USD

models/llm/qwen35_27b_fp8.yaml → models/llm/openai-gpt-5-6-sol.yaml

@@ -1,46 +1,27 @@
-model: qwen35_27b_fp8
+model: openai-gpt-5-6-sol
 label:
-  en_US: Qwen3.5-27B
+  en_US: openai-gpt-5-6-sol
 model_type: llm
 features:
 - agent-thought
 - tool-call
-- multi-tool-call
 - stream-tool-call
-- structured-output
-- vision
 model_properties:
   mode: chat
-  context_size: 262144
+  context_size: ''
 parameter_rules:
 - name: temperature
   use_template: temperature
-  type: float
 - name: top_p
   use_template: top_p
-  type: float
 - name: frequency_penalty
   use_template: frequency_penalty
-  type: float
 - name: presence_penalty
   use_template: presence_penalty
-  type: float
 - name: max_tokens
   use_template: max_tokens
-  type: int
-  default: 1024
-  min: 1
-  max: 128000
-- name: response_format
-  label:
-    en_US: Response Format
-  type: string
-  required: false
-  options:
-  - text
-  - json_object
 pricing:
-  input: '0.165'
-  output: '1.326'
+  input: '5'
+  output: '30'
   unit: '0.000001'
   currency: USD

models/llm/qwen35_397b_a17b_fp8.yaml → models/llm/openai-gpt-5-6-terra.yaml

@@ -1,46 +1,27 @@
-model: qwen35_397b_a17b_fp8
+model: openai-gpt-5-6-terra
 label:
-  en_US: Qwen3.5-397B
+  en_US: openai-gpt-5-6-terra
 model_type: llm
 features:
 - agent-thought
 - tool-call
-- multi-tool-call
 - stream-tool-call
-- structured-output
-- vision
 model_properties:
   mode: chat
-  context_size: 262144
+  context_size: ''
 parameter_rules:
 - name: temperature
   use_template: temperature
-  type: float
 - name: top_p
   use_template: top_p
-  type: float
 - name: frequency_penalty
   use_template: frequency_penalty
-  type: float
 - name: presence_penalty
   use_template: presence_penalty
-  type: float
 - name: max_tokens
   use_template: max_tokens
-  type: int
-  default: 1024
-  min: 1
-  max: 128000
-- name: response_format
-  label:
-    en_US: Response Format
-  type: string
-  required: false
-  options:
-  - text
-  - json_object
 pricing:
-  input: '0.327'
-  output: '1.989'
+  input: '2.5'
+  output: '15'
   unit: '0.000001'
   currency: USD

models/llm/openai-gpt-oss-120b.yaml

@@ -0,0 +1,27 @@
+model: openai-gpt-oss-120b
+label:
+  en_US: openai-gpt-oss-120b
+model_type: llm
+features:
+- agent-thought
+- tool-call
+- stream-tool-call
+model_properties:
+  mode: chat
+  context_size: ''
+parameter_rules:
+- name: temperature
+  use_template: temperature
+- name: top_p
+  use_template: top_p
+- name: frequency_penalty
+  use_template: frequency_penalty
+- name: presence_penalty
+  use_template: presence_penalty
+- name: max_tokens
+  use_template: max_tokens
+pricing:
+  input: '0.032'
+  output: '0.14'
+  unit: '0.000001'
+  currency: USD

models/llm/zai-glm-5-2.yaml

@@ -0,0 +1,27 @@
+model: zai-glm-5-2
+label:
+  en_US: GLM-5.2
+model_type: llm
+features:
+- agent-thought
+- tool-call
+- stream-tool-call
+model_properties:
+  mode: chat
+  context_size: ''
+parameter_rules:
+- name: temperature
+  use_template: temperature
+- name: top_p
+  use_template: top_p
+- name: frequency_penalty
+  use_template: frequency_penalty
+- name: presence_penalty
+  use_template: presence_penalty
+- name: max_tokens
+  use_template: max_tokens
+pricing:
+  input: '0.8'
+  output: '2.55'
+  unit: '0.000001'
+  currency: USD