As of August 20, 2026, MAI-Code-1.1-Flash is 92% cheaper per million tokens than Grok-4.1 Thinking. Grok-4.1 Thinking is $3.00 / $15.00 per million input/output tokens versus MAI-Code-1.1-Flash at $0.20 / $1.20. Sources: https://docs.x.ai/docs/models and https://ai.azure.com
Sources: xAI API pricing (https://docs.x.ai/docs/models); Microsoft pricing (https://ai.azure.com)
Grok-4.1 Thinking
xAI
Input
$3.00
Output
$15.00
MAI-Code-1.1-Flash
Microsoft
Input
$0.20
Output
$1.20
Token pricing, specs, and benchmarks side by side
Grok-4.1 ThinkingMAI-Code-1.1-FlashVerdict
Both models are closely matched on benchmarks. MAI-Code-1.1-Flash has the pricing advantage, making it the better value unless Grok-4.1 Thinking's specific capabilities are critical to your workflow.
As of August 20, 2026, MAI-Code-1.1-Flash is 92% cheaper on blended LLM API pricing. MAI-Code-1.1-Flash costs $0.20 per million input tokens and $1.20 per million output tokens ($1.40 blended 1M-in + 1M-out). Grok-4.1 Thinking costs $3.00 / $15.00 per million tokens ($18.00 blended). Sources: https://docs.x.ai/docs/models and https://ai.azure.com. The cheapest LLM for your app still depends on how many output tokens you generate.
Grok-4.1 Thinking xAI API pricing is $3.00 input and $15.00 output per million tokens via xAI. MAI-Code-1.1-Flash Microsoft API pricing is $0.20 input and $1.20 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
MAI-Code-1.1-Flash has a published SWE-bench Verified score of 72.6%. Grok-4.1 Thinking does not have that eval on this page yet.
Grok-4.1 Thinking supports a 256K token context window, while MAI-Code-1.1-Flash supports 256K tokens. Both models have the same context window size. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Shared benchmark scores for Grok-4.1 Thinking and MAI-Code-1.1-Flash are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Grok-4.1 Thinking and MAI-Code-1.1-Flash are production API models. For cost-sensitive production traffic, MAI-Code-1.1-Flash has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Grok-4.1 Thinking through xAI and MAI-Code-1.1-Flash through Microsoft with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published xAI API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://docs.x.ai/docs/models and https://ai.azure.com. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Grok-4.1 Thinking supports up to 8K output tokens per request, while MAI-Code-1.1-Flash supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Grok-4.1 Thinking has a measured throughput of approximately 80 tokens/second. Throughput data for MAI-Code-1.1-Flash is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Grok-4.1 Thinking or MAI-Code-1.1-Flash from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Grok-4.1 Thinking costs $3.00/M input and $15.00/M output. MAI-Code-1.1-Flash costs $0.20/M input and $1.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
280 models across 33 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
