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feat(model_prices): add meta/muse-wonder-1.0 (#46072)

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* feat(model_prices): add meta/muse-wonder-1.0

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix(model_prices): mark muse-wonder-1.0 as not supporting reasoning_effort none

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: kerry <kerry@berri.ai>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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devin-ai-integration[bot] 2026-10-12 19:36:52 +00:00 • committed by GitHub
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3 changed files with 102 additions and 2 deletions
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43
litellm/model_prices_and_context_window_backup.json
View file

@ -38967,6 +38967,49 @@
],
"supports_audio_input": true
},
"meta/muse-wonder-1.0": {
"cache_read_input_token_cost": 2e-07,
"input_cost_per_token": 4e-06,
"litellm_provider": "meta",
"max_input_tokens": 1048576,
"max_output_tokens": 131072,
"max_tokens": 131072,
"mode": "chat",
"output_cost_per_token": 2e-05,
"search_context_cost_per_query": {
"search_context_size_high": 0.0025,
"search_context_size_low": 0.0025,
"search_context_size_medium": 0.0025
},
"source": "https://dev.meta.ai/docs/pricing-rate-limits",
"supported_endpoints": [
"/v1/chat/completions",
"/v1/responses",
"/v1/messages"
],
"supported_modalities": [
"text",
"image",
"video"
],
"supported_output_modalities": [
"text"
],
"supports_function_calling": true,
"supports_max_reasoning_effort": true,
"supports_minimal_reasoning_effort": true,
"supports_none_reasoning_effort": false,
"supports_parallel_function_calling": true,
"supports_pdf_input": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": true,
"supports_web_search": true,
"supports_xhigh_reasoning_effort": true
},
"meta_llama/Llama-3.3-70B-Instruct": {
"litellm_provider": "meta_llama",
"max_input_tokens": 128000,

43
model_prices_and_context_window.json
View file

@ -38967,6 +38967,49 @@
],
"supports_audio_input": true
},
"meta/muse-wonder-1.0": {
"cache_read_input_token_cost": 2e-07,
"input_cost_per_token": 4e-06,
"litellm_provider": "meta",
"max_input_tokens": 1048576,
"max_output_tokens": 131072,
"max_tokens": 131072,
"mode": "chat",
"output_cost_per_token": 2e-05,
"search_context_cost_per_query": {
"search_context_size_high": 0.0025,
"search_context_size_low": 0.0025,
"search_context_size_medium": 0.0025
},
"source": "https://dev.meta.ai/docs/pricing-rate-limits",
"supported_endpoints": [
"/v1/chat/completions",
"/v1/responses",
"/v1/messages"
],
"supported_modalities": [
"text",
"image",
"video"
],
"supported_output_modalities": [
"text"
],
"supports_function_calling": true,
"supports_max_reasoning_effort": true,
"supports_minimal_reasoning_effort": true,
"supports_none_reasoning_effort": false,
"supports_parallel_function_calling": true,
"supports_pdf_input": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": true,
"supports_web_search": true,
"supports_xhigh_reasoning_effort": true
},
"meta_llama/Llama-3.3-70B-Instruct": {
"litellm_provider": "meta_llama",
"max_input_tokens": 128000,

18
tests/unit/test_muse_spark_1_3_model_metadata.py
View file

@ -6,9 +6,11 @@ import pytest
import litellm
from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
from litellm.litellm_core_utils.llm_cost_calc.tool_call_cost_tracking import StandardBuiltInToolCostTracking
from litellm.router_utils.reasoning_effort_capability import resolve_supported_reasoning_efforts
MUSE_SPARK_STANDARD = "meta/muse-spark-1.3"
MUSE_SPARK_CONTRIBUTOR = "meta/muse-spark-1.3-contributor"
MUSE_WONDER = "meta/muse-wonder-1.0"
WEB_SEARCH_COST_PER_QUERY = 0.0025
PRICING = (
@ -22,7 +24,7 @@ def _load_cost_map(filename: str = "model_prices_and_context_window.json") -> di
return json.load(f)
@pytest.mark.parametrize("model", (MUSE_SPARK_STANDARD, MUSE_SPARK_CONTRIBUTOR))
@pytest.mark.parametrize("model", (MUSE_SPARK_STANDARD, MUSE_SPARK_CONTRIBUTOR, MUSE_WONDER))
def test_muse_spark_1_3_routes_to_meta_model_api(model: str):
routed_model, provider, _, api_base = get_llm_provider(model=model, api_key="sk-test")
@ -31,7 +33,7 @@ def test_muse_spark_1_3_routes_to_meta_model_api(model: str):
assert api_base == "https://api.meta.ai/v1"
@pytest.mark.parametrize("model", (MUSE_SPARK_STANDARD, MUSE_SPARK_CONTRIBUTOR))
@pytest.mark.parametrize("model", (MUSE_SPARK_STANDARD, MUSE_SPARK_CONTRIBUTOR, MUSE_WONDER))
def test_muse_spark_1_3_backup_matches_main(model: str):
"""Ensure the bundled model cost map stays in sync with the canonical file."""
main_cost = _load_cost_map()
@ -40,6 +42,18 @@ def test_muse_spark_1_3_backup_matches_main(model: str):
assert backup_cost.get(model) == main_cost.get(model), f"{model} differs between main and backup model cost maps"
def test_muse_wonder_reasoning_efforts_include_max_and_exclude_none():
entry = dict(_load_cost_map()[MUSE_WONDER])
entry["key"] = MUSE_WONDER
resolved = resolve_supported_reasoning_efforts(entry, deployment_is_mapped=True)
assert resolved is not None
assert "max" in resolved
assert "xhigh" in resolved
assert "none" not in resolved
def test_muse_spark_contributor_tier_is_cheaper_than_standard():
cost_map = _load_cost_map()
standard = cost_map[MUSE_SPARK_STANDARD]