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test(bedrock_mantle): pin GPT-5.6 1M context window and long-context rates
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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@ -1526,7 +1526,11 @@ class TestBedrockMantleResponsesPricing:
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assert info["cache_creation_input_token_cost"] == pytest.approx(cache_creation_cost)
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assert info["cache_read_input_token_cost"] == pytest.approx(cache_read_cost)
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assert info["output_cost_per_token"] == pytest.approx(output_cost)
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assert info["max_input_tokens"] == 272000
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assert info["max_input_tokens"] == 1000000
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assert info["input_cost_per_token_above_272k_tokens"] == pytest.approx(input_cost * 2)
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assert info["cache_creation_input_token_cost_above_272k_tokens"] == pytest.approx(cache_creation_cost * 2)
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assert info["cache_read_input_token_cost_above_272k_tokens"] == pytest.approx(cache_read_cost * 2)
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assert info["output_cost_per_token_above_272k_tokens"] == pytest.approx(output_cost * 1.5)
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@pytest.mark.parametrize(
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"model, input_cost, output_cost",
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