Calculate the cost of using mai-code-1.1-flash from Github Copilot for your AI applications
Pricing data last updated:
Mode: Responses
Max: 128,000 tokens
Max: 128,000 tokens
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mai-code-1.1-flash is a responses model from Github Copilot, one of 12 responses models they offer. It is priced at $0.20 per 1M input tokens and $1.20 per 1M output tokens, ranking 9 out of 160 responses models by cost and cheaper than 93% of models in this category. mai-code-1.1-flash supports vision, function calling, structured output — one of only 2 responses models with this combination. It accepts up to 128K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 128,000 input tokens. The maximum output length is 128,000 tokens.
At $0.20 per 1M input tokens and $1.20 per 1M output tokens, mai-code-1.1-flash ranks 9 out of 160 responses models by input cost. It is more affordable compared to the median of $2.00 for responses models, and is cheaper than 93% of models in this category.
mai-code-1.1-flash is one of 12 Github Copilot responses models, one of only 2 responses models combining function calling, structured output, vision.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs mai-code-1.1-flash |
|---|---|---|---|---|
| gpt-5.1-codex-mini | Azure | $0.25 | $2.00 | +25% |
| gpt-5.1-codex-mini-2025-11-13 | Azure | $0.25 | $2.00 | +25% |
| gpt-5.1-codex-mini | OpenAI | $0.25 | $2.00 | +25% |
Similar responses models from other providers
Yes. mai-code-1.1-flash costs $0.20 per 1M input tokens compared to gpt-5.1-codex-mini's $0.25 per 1M input tokens, making it 25% more affordable. Both are responses models and share support for vision, function calling, reasoning, prompt caching, structured output.
mai-code-1.1-flash input pricing is $0.20 per 1M tokens, which is 90% below the median of $2.00 for responses models. It ranks 9 out of 160 responses models by input cost, making it cheaper than 93% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $11.00.
Among Github Copilot's 12 responses models, mai-code-1.1-flash ranks 3 by input cost. Its combination of function calling, structured output, vision is shared by only 1 other responses model.
The most comparable responses models to mai-code-1.1-flash are: gpt-5.1-codex-mini from Azure ($0.25/1M input tokens); gpt-5.1-codex-mini-2025-11-13 from Azure ($0.25/1M input tokens); gpt-5.1-codex-mini from OpenAI ($0.25/1M input tokens); openai.gpt-5.6-luna from Bedrock Mantle ($0.22/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
mai-code-1.1-flash is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.20 and generating 1M output tokens costs $1.20.