* feat(xai): add grok-4.3 and grok-4.3-latest to model_prices_and_context_window.json xAI's docs page now lists grok-4.3 as the recommended chat / coding model: "We strongly recommend all API callers use grok-4.3. It is the most intelligent and fastest model we've built." (https://docs.x.ai/docs/models) Pricing/specs sourced from xAI's published model metadata: - input: $1.25 / 1M tokens (<=200k), $2.50 / 1M tokens (>200k) - output: $2.50 / 1M tokens (<=200k), $5.00 / 1M tokens (>200k) - cached: $0.20 / 1M tokens (<=200k), $0.40 / 1M tokens (>200k) - context: 1,000,000 tokens - capabilities: vision, reasoning, function calling, structured outputs, prompt caching, web search Adds two entries: `xai/grok-4.3` (canonical) and `xai/grok-4.3-latest` (alias), mirroring the pattern used for the rest of the xAI/Grok-4 family. * test(xai): add model_info test for grok-4.3 + sync backup cost map - Mirror xai/grok-4.3 and xai/grok-4.3-latest entries into litellm/model_prices_and_context_window_backup.json so the bundled model cost map matches the canonical model_prices_and_context_window.json. - Add tests/test_litellm/test_xai_grok_4_3_model_metadata.py covering pricing tiers, capability flags, context window, provider routing, and parity between the main and backup cost maps. - Point 'source' at the live xAI models page (the per-model URL https://docs.x.ai/docs/models/grok-4.3 currently 404s). --------- Co-authored-by: ishaan-berri <155045088+ishaan-berri@users.noreply.github.com> Co-authored-by: shin-watcher <shin-watcher@berri.ai> Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Mateo Wang <mateo-berri@users.noreply.github.com>
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Mateo Wang
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commit
8c9830eef9
@ -34927,6 +34927,48 @@
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"supports_vision": true,
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"supports_web_search": true
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},
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"xai/grok-4.3": {
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"cache_read_input_token_cost": 2e-07,
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"cache_read_input_token_cost_above_200k_tokens": 4e-07,
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"input_cost_per_token": 1.25e-06,
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"input_cost_per_token_above_200k_tokens": 2.5e-06,
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"litellm_provider": "xai",
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"max_input_tokens": 1000000,
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"max_output_tokens": 1000000,
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"max_tokens": 1000000,
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"mode": "chat",
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"output_cost_per_token": 2.5e-06,
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"output_cost_per_token_above_200k_tokens": 5e-06,
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"source": "https://docs.x.ai/docs/models",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true,
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"supports_web_search": true
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},
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"xai/grok-4.3-latest": {
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"cache_read_input_token_cost": 2e-07,
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"cache_read_input_token_cost_above_200k_tokens": 4e-07,
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"input_cost_per_token": 1.25e-06,
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"input_cost_per_token_above_200k_tokens": 2.5e-06,
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"litellm_provider": "xai",
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"max_input_tokens": 1000000,
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"max_output_tokens": 1000000,
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"max_tokens": 1000000,
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"mode": "chat",
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"output_cost_per_token": 2.5e-06,
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"output_cost_per_token_above_200k_tokens": 5e-06,
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"source": "https://docs.x.ai/docs/models",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true,
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"supports_web_search": true
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},
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"xai/grok-beta": {
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"input_cost_per_token": 5e-06,
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"litellm_provider": "xai",
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@ -34932,6 +34932,48 @@
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"supports_vision": true,
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"supports_web_search": true
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},
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"xai/grok-4.3": {
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"cache_read_input_token_cost": 2e-07,
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"cache_read_input_token_cost_above_200k_tokens": 4e-07,
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"input_cost_per_token": 1.25e-06,
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"input_cost_per_token_above_200k_tokens": 2.5e-06,
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"litellm_provider": "xai",
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"max_input_tokens": 1000000,
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"max_output_tokens": 1000000,
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"max_tokens": 1000000,
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"mode": "chat",
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"output_cost_per_token": 2.5e-06,
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"output_cost_per_token_above_200k_tokens": 5e-06,
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"source": "https://docs.x.ai/docs/models",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true,
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"supports_web_search": true
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},
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"xai/grok-4.3-latest": {
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"cache_read_input_token_cost": 2e-07,
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"cache_read_input_token_cost_above_200k_tokens": 4e-07,
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"input_cost_per_token": 1.25e-06,
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"input_cost_per_token_above_200k_tokens": 2.5e-06,
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"litellm_provider": "xai",
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"max_input_tokens": 1000000,
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"max_output_tokens": 1000000,
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"max_tokens": 1000000,
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"mode": "chat",
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"output_cost_per_token": 2.5e-06,
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"output_cost_per_token_above_200k_tokens": 5e-06,
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"source": "https://docs.x.ai/docs/models",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true,
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"supports_web_search": true
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},
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"xai/grok-beta": {
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"input_cost_per_token": 5e-06,
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"litellm_provider": "xai",
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62
tests/test_litellm/test_xai_grok_4_3_model_metadata.py
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62
tests/test_litellm/test_xai_grok_4_3_model_metadata.py
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@ -0,0 +1,62 @@
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import json
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from pathlib import Path
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import pytest
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from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
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@pytest.mark.parametrize("model", ["xai/grok-4.3", "xai/grok-4.3-latest"])
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def test_xai_grok_4_3_model_info(model):
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json_path = Path(__file__).parents[2] / "model_prices_and_context_window.json"
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with open(json_path) as f:
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model_cost = json.load(f)
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info = model_cost.get(model)
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assert (
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info is not None
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), f"{model} not found in model_prices_and_context_window.json"
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assert info["litellm_provider"] == "xai"
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assert info["mode"] == "chat"
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assert info["input_cost_per_token"] == 1.25e-06
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assert info["output_cost_per_token"] == 2.5e-06
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assert info["cache_read_input_token_cost"] == 2e-07
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assert info["input_cost_per_token_above_200k_tokens"] == 2.5e-06
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assert info["output_cost_per_token_above_200k_tokens"] == 5e-06
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assert info["cache_read_input_token_cost_above_200k_tokens"] == 4e-07
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assert info["max_input_tokens"] == 1000000
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assert info["max_output_tokens"] == 1000000
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assert info["max_tokens"] == 1000000
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assert info["supports_function_calling"] is True
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assert info["supports_prompt_caching"] is True
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assert info["supports_reasoning"] is True
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assert info["supports_response_schema"] is True
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assert info["supports_tool_choice"] is True
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assert info["supports_vision"] is True
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assert info["supports_web_search"] is True
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routed_model, provider, _, _ = get_llm_provider(model=model)
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assert routed_model == model.split("/", 1)[1]
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assert provider == "xai"
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def test_xai_grok_4_3_backup_matches_main():
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"""Ensure the bundled model cost map stays in sync with the canonical file."""
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repo_root = Path(__file__).parents[2]
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main_path = repo_root / "model_prices_and_context_window.json"
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backup_path = repo_root / "litellm" / "model_prices_and_context_window_backup.json"
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with open(main_path) as f:
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main_cost = json.load(f)
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with open(backup_path) as f:
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backup_cost = json.load(f)
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for model in ("xai/grok-4.3", "xai/grok-4.3-latest"):
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assert backup_cost.get(model) == main_cost.get(
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model
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), f"{model} differs between main and backup model cost maps"
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