Calculate the cost of using grok-4-fast-reasoning from Azure for your AI applications
Pricing data last updated:
Mode: Chat
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grok-4-fast-reasoning is a chat model from Azure, one of 317 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.50 per 1M output tokens, ranking 1151 out of 3778 chat models by cost and cheaper than 69% of models in this category.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $0.20 per 1M input tokens and $0.50 per 1M output tokens, grok-4-fast-reasoning ranks 1151 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 69% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs grok-4-fast-reasoning |
|---|---|---|---|---|
| ai21.jamba-1-5-mini-v1:0 | AWS Bedrock | $0.20 | $0.40 | 0% |
| amazon.titan-text-express-v1 | AWS Bedrock | $0.20 | $0.60 | 0% |
| Llama-2-13b-chat-hf | Anyscale | $0.25 | $0.25 | +25% |
Similar chat models from other providers
No. grok-4-fast-reasoning costs $0.20 per 1M input tokens while ai21.jamba-1-5-mini-v1:0 costs $0.20 per 1M input tokens, making ai21.jamba-1-5-mini-v1:0 0% more affordable for input. However, grok-4-fast-reasoning may offer different capabilities or performance characteristics that justify the price difference.
grok-4-fast-reasoning input pricing is $0.20 per 1M tokens, which is 67% below the median of $0.60 for chat models. It ranks 1151 out of 3778 chat models by input cost, making it cheaper than 69% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.75.
Among Azure's 317 chat models, grok-4-fast-reasoning ranks 63 by input cost.
The most comparable chat models to grok-4-fast-reasoning are: ai21.jamba-1-5-mini-v1:0 from AWS Bedrock ($0.20/1M input tokens); amazon.titan-text-express-v1 from AWS Bedrock ($0.20/1M input tokens); Llama-2-13b-chat-hf from Anyscale ($0.25/1M input tokens); nvidia.nemotron-super-3-120b from AWS Bedrock ($0.23/1M 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.
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grok-4-fast-reasoning 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 $0.50.