fix(model-prices): add TokenHub rows, fix TokenHub DeepSeek-V4-Pro price, Bedrock Claude 3.5 Sonnet and Fireworks context windows, Together dates (#46206)

* fix(model-prices): add TokenHub DeepSeek, GLM and Kimi rows, correct TokenHub DeepSeek-V4-Pro price, update Together removal dates

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

* fix(model-prices): correct bare Bedrock Claude 3.5 Sonnet context window

Align bare Sonnet entries with their regional 200K context metadata.

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

* fix(model-prices): correct Fireworks serverless context windows

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

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: halewang <halewang@tencent.com>
Co-authored-by: OrangerXu <OrangerXu@users.noreply.github.com>
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devin-ai-integration[bot] 2026-10-13 12:52:01 -07:00 • committed by GitHub
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3 changed files with 837 additions and 94 deletions

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View file

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"source": "https://www.tencentcloud.com/document/product/1300/78937",
"supported_endpoints": [
"/v1/chat/completions"
],
"supports_function_calling": true,
"supports_native_streaming": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": false
},
"tencent/kimi-k3": {
"cache_creation_input_token_cost": 0.0,
"cache_read_input_token_cost": 3e-07,
"input_cost_per_token": 3e-06,
"input_cost_per_token_cache_hit": 3e-07,
"litellm_provider": "tencent",
"max_input_tokens": 1000000,
"max_output_tokens": 1000000,
"max_tokens": 1000000,
"mode": "chat",
"output_cost_per_token": 1.5e-05,
"source": "https://www.tencentcloud.com/document/product/1300/78937",
"supported_endpoints": [
"/v1/chat/completions"
],
"supports_function_calling": true,
"supports_native_streaming": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": false
},
"tencent/kimi-k2.8-preview": {
"cache_creation_input_token_cost": 0.0,
"cache_read_input_token_cost": 2.5e-07,
"input_cost_per_token": 1e-06,
"input_cost_per_token_cache_hit": 2.5e-07,
"litellm_provider": "tencent",
"max_input_tokens": 1000000,
"max_output_tokens": 1000000,
"max_tokens": 1000000,
"mode": "chat",
"output_cost_per_token": 4e-06,
"source": "https://www.tencentcloud.com/document/product/1300/78937",
"supported_endpoints": [
"/v1/chat/completions"
],
"supports_function_calling": true,
"supports_native_streaming": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": false
},
"tencent/kimi-k2.7-code-highspeed": {
"cache_creation_input_token_cost": 0.0,
"cache_read_input_token_cost": 3.8e-07,
"input_cost_per_token": 1.9e-06,
"input_cost_per_token_cache_hit": 3.8e-07,
"litellm_provider": "tencent",
"max_input_tokens": 256000,
"max_output_tokens": 256000,
"max_tokens": 256000,
"mode": "chat",
"output_cost_per_token": 8e-06,
"source": "https://www.tencentcloud.com/document/product/1300/78937",
"supported_endpoints": [
"/v1/chat/completions"
],
"supports_function_calling": true,
"supports_native_streaming": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": false
},
"tencent/kimi-k2.7-code": {
"cache_creation_input_token_cost": 0.0,
"cache_read_input_token_cost": 1.9e-07,
"input_cost_per_token": 9.5e-07,
"input_cost_per_token_cache_hit": 1.9e-07,
"litellm_provider": "tencent",
"max_input_tokens": 256000,
"max_output_tokens": 256000,
"max_tokens": 256000,
"mode": "chat",
"output_cost_per_token": 4e-06,
"source": "https://www.tencentcloud.com/document/product/1300/78937",
"supported_endpoints": [
"/v1/chat/completions"
],
"supports_function_calling": true,
"supports_native_streaming": true,
"supports_prompt_caching": true,
"supports_reasoning": true,
"supports_response_schema": true,
"supports_system_messages": true,
"supports_tool_choice": true,
"supports_vision": false
},
"tencent/minimax-m3": {
"cache_creation_input_token_cost": 0.0,
"cache_read_input_token_cost": 6e-08,
@ -59539,7 +59837,7 @@
"max_input_tokens": 1000000,
"mode": "chat",
"output_cost_per_token": 1.2e-06,
"source": "https://www.tencentcloud.com/products/tokenhub",
"source": "https://www.tencentcloud.com/document/product/1300/78937",
"supported_endpoints": [
"/v1/chat/completions"
],
@ -66399,7 +66697,7 @@
"source": "https://api.together.ai/v1/models"
},
"together_ai/google/gemma-4-31B-it": {
"deprecation_date": "2026-09-15",
"deprecation_date": "2026-09-14",
"input_cost_per_token": 3.9e-07,
"litellm_provider": "together_ai",
"max_input_tokens": 262144,
@ -66542,7 +66840,7 @@
"source": "https://api.together.ai/v1/models"
},
"together_ai/openai/gpt-oss-20b": {
"deprecation_date": "2026-09-15",
"deprecation_date": "2026-09-14",
"input_cost_per_token": 5e-08,
"litellm_provider": "together_ai",
"max_input_tokens": 131072,

View file

@ -605,6 +605,26 @@ DEEPSEEK_OFF_PEAK_WINDOWS: Final = (
{"hours_utc": "00:00-00:00", "weekdays": [6, 7]},
)
DEEPSEEK_HALVED_RATES: Final = ("input_cost_per_token", "output_cost_per_token", "cache_read_input_token_cost")
TENCENT_TOKENHUB_DEEPSEEK_PRICED_ROWS: Final = (
"tencent/deepseek-v4-pro-0813",
"tencent/deepseek-v4.1-flash",
)
TENCENT_TOKENHUB_GLM_ROWS: Final = MappingProxyType(
{
"tencent/glm-5.3-flashx": (3.7e-07, 1.25e-06, 7.5e-08, True, True),
"tencent/glm-5.3-flash": (1.5e-07, 5e-07, 3e-08, True, True),
"tencent/glm-5.3": (1.4e-06, 4.4e-06, 2.6e-07, False, False),
"tencent/glm-5.2": (1.4e-06, 4.4e-06, 2.6e-07, False, False),
}
)
TENCENT_TOKENHUB_KIMI_ROWS: Final = MappingProxyType(
{
"tencent/kimi-k3": (3e-06, 1.5e-05, 3e-07, 1000000, False, False),
"tencent/kimi-k2.8-preview": (1e-06, 4e-06, 2.5e-07, 1000000, False, False),
"tencent/kimi-k2.7-code-highspeed": (1.9e-06, 8e-06, 3.8e-07, 256000, False, False),
"tencent/kimi-k2.7-code": (9.5e-07, 4e-06, 1.9e-07, 256000, False, False),
}
)
def deepseek_off_peak_drift(entry: Mapping[str, object]) -> str | None:
@ -636,6 +656,133 @@ def test_deepseek_rows_bill_half_rate_outside_weekday_peak_hours(path: Path):
assert all(name in rows for name in DEEPSEEK_PRICED_ROWS)
@pytest.mark.parametrize("path", (PRICES_PATH, BACKUP_PRICES_PATH), ids=("main", "backup"))
def test_tencent_tokenhub_deepseek_rows_bill_half_rate_outside_weekday_peak_hours(path: Path):
"""Tencent TokenHub applies the DeepSeek weekday peak windows and half-rate off-peak prices
to these models (tencentcloud.com/document/product/1300/78937, read 2026-10-13)."""
rows: Mapping[str, object] = json.loads(path.read_text())
drifted: Final = {
name: deepseek_off_peak_drift(entry)
for name in TENCENT_TOKENHUB_DEEPSEEK_PRICED_ROWS
if isinstance(entry := rows.get(name), dict) and deepseek_off_peak_drift(entry) is not None
}
invalid_timezones: Final = tuple(
name
for name in TENCENT_TOKENHUB_DEEPSEEK_PRICED_ROWS
if isinstance(entry := rows.get(name), dict)
and isinstance(block := entry.get("off_peak_pricing"), dict)
and block.get("weekday_timezone") != "Asia/Shanghai"
)
assert drifted == {}
assert all(name in rows for name in TENCENT_TOKENHUB_DEEPSEEK_PRICED_ROWS)
assert invalid_timezones == ()
@pytest.mark.parametrize("path", (PRICES_PATH, BACKUP_PRICES_PATH), ids=("main", "backup"))
def test_tencent_tokenhub_glm_rows_match_published_metadata(path: Path):
"""TokenHub publishes these prices and capabilities in its official model catalog and rate card
(tencentcloud.com/document/product/1300/78934 and /78937, read 2026-10-13)."""
rows: Mapping[str, object] = json.loads(path.read_text())
actual: Final = MappingProxyType(
{
name: (
entry.get("input_cost_per_token"),
entry.get("output_cost_per_token"),
entry.get("cache_read_input_token_cost"),
entry.get("supports_vision", False),
entry.get("supports_video_input", False),
)
for name in TENCENT_TOKENHUB_GLM_ROWS
if isinstance(entry := rows.get(name), dict)
}
)
invalid_metadata: Final = tuple(
name
for name in TENCENT_TOKENHUB_GLM_ROWS
if not isinstance(entry := rows.get(name), dict)
or entry.get("litellm_provider") != "tencent"
or entry.get("max_input_tokens") != 1000000
or entry.get("max_output_tokens") != 128000
or entry.get("max_tokens") != 128000
or entry.get("input_cost_per_token_cache_hit") != entry.get("cache_read_input_token_cost")
)
assert actual == TENCENT_TOKENHUB_GLM_ROWS
assert invalid_metadata == ()
@pytest.mark.parametrize("path", (PRICES_PATH, BACKUP_PRICES_PATH), ids=("main", "backup"))
def test_tencent_tokenhub_kimi_rows_match_published_metadata(path: Path):
"""TokenHub publishes these Kimi prices and capabilities in its official model catalog and rate card
(tencentcloud.com/document/product/1300/78934 and /78937, read 2026-10-13)."""
rows: Mapping[str, object] = json.loads(path.read_text())
actual: Final = MappingProxyType(
{
name: (
entry.get("input_cost_per_token"),
entry.get("output_cost_per_token"),
entry.get("cache_read_input_token_cost"),
entry.get("max_tokens"),
entry.get("supports_vision", False),
entry.get("supports_video_input", False),
)
for name in TENCENT_TOKENHUB_KIMI_ROWS
if isinstance(entry := rows.get(name), dict)
}
)
invalid_metadata: Final = tuple(
name
for name, expected in TENCENT_TOKENHUB_KIMI_ROWS.items()
if not isinstance(entry := rows.get(name), dict)
or entry.get("litellm_provider") != "tencent"
or entry.get("max_input_tokens") != expected[3]
or entry.get("max_output_tokens") != expected[3]
or entry.get("input_cost_per_token_cache_hit") != entry.get("cache_read_input_token_cost")
or not entry.get("supports_reasoning")
or not entry.get("supports_response_schema")
or not entry.get("supports_function_calling")
or not entry.get("supports_prompt_caching")
)
assert actual == TENCENT_TOKENHUB_KIMI_ROWS
assert invalid_metadata == ()
class TestBedrockClaude35SonnetContextWindow:
@pytest.mark.parametrize("path", (PRICES_PATH, BACKUP_PRICES_PATH), ids=("main", "backup"))
def test_bare_model_ids_match_us_and_eu_siblings(self, path: Path):
rows = json.loads(path.read_text())
for model in (
"anthropic.claude-3-5-sonnet-20240620-v1:0",
"anthropic.claude-3-5-sonnet-20241022-v2:0",
):
assert rows[model]["max_input_tokens"] == rows[f"us.{model}"]["max_input_tokens"]
assert rows[model]["max_input_tokens"] == rows[f"eu.{model}"]["max_input_tokens"]
@pytest.mark.parametrize("path", (PRICES_PATH, BACKUP_PRICES_PATH), ids=("main", "backup"))
def test_bare_model_ids_have_200k_context_window(self, path: Path):
rows = json.loads(path.read_text())
# Claude 3.5 Sonnet context window is 200K tokens, https://www.anthropic.com/news/claude-3-5-sonnet (accessed 2026-10-13)
for model in (
"anthropic.claude-3-5-sonnet-20240620-v1:0",
"anthropic.claude-3-5-sonnet-20241022-v2:0",
):
assert rows[model]["max_input_tokens"] == 200000
@pytest.mark.parametrize("path", (PRICES_PATH, BACKUP_PRICES_PATH), ids=("main", "backup"))
def test_bare_model_ids_have_no_above_200k_pricing(self, path: Path):
rows = json.loads(path.read_text())
above_200k_fields = (
"input_cost_per_token_above_200k_tokens",
"output_cost_per_token_above_200k_tokens",
"cache_creation_input_token_cost_above_200k_tokens",
"cache_read_input_token_cost_above_200k_tokens",
)
for model in (
"anthropic.claude-3-5-sonnet-20240620-v1:0",
"anthropic.claude-3-5-sonnet-20241022-v2:0",
):
assert not set(above_200k_fields).intersection(rows[model])
PROVIDER_LABELS_WITHOUT_A_MODEL_SET: Final = frozenset({"sagemaker", "bedrock_converse"})
MODES_SERVED_OUTSIDE_THE_LLM_PROVIDER_REGISTRY: Final = frozenset({"search", "decisions", "evaluation"})
VERTEX_FAMILIES_A_VERTEX_WILDCARD_GRANT_DOES_NOT_LIST: Final = frozenset(