Which is cheaper, Granite 3.3 8B Instruct or MAI-Code-1.1-Flash?
As of August 20, 2026, Granite 3.3 8B Instruct is 29% cheaper on blended LLM API pricing. Granite 3.3 8B Instruct costs $0.50 per million input tokens and $0.50 per million output tokens ($1.00 blended 1M-in + 1M-out). MAI-Code-1.1-Flash costs $0.20 / $1.20 per million tokens ($1.40 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://ai.azure.com. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Granite 3.3 8B Instruct vs MAI-Code-1.1-Flash cost per million tokens?
Granite 3.3 8B Instruct IBM API pricing is $0.50 input and $0.50 output per million tokens via IBM. 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.
Which is better for coding, Granite 3.3 8B Instruct or MAI-Code-1.1-Flash?
MAI-Code-1.1-Flash has a published SWE-bench Verified score of 72.6%. Granite 3.3 8B Instruct does not have that eval on this page yet.
What is the context window for Granite 3.3 8B Instruct vs MAI-Code-1.1-Flash?
Granite 3.3 8B Instruct supports a 128K token context window, while MAI-Code-1.1-Flash supports 256K tokens. MAI-Code-1.1-Flash offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, Granite 3.3 8B Instruct or MAI-Code-1.1-Flash?
Shared benchmark scores for Granite 3.3 8B Instruct 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.
Is Granite 3.3 8B Instruct or MAI-Code-1.1-Flash better for production use?
Both Granite 3.3 8B Instruct and MAI-Code-1.1-Flash are production API models. For cost-sensitive production traffic, Granite 3.3 8B Instruct 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.
Can I switch between Granite 3.3 8B Instruct and MAI-Code-1.1-Flash in my app?
Yes. Call Granite 3.3 8B Instruct through IBM 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.
How accurate is this Granite 3.3 8B Instruct vs MAI-Code-1.1-Flash pricing data?
List rates are the latest published IBM API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing 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.
What is the output token limit for Granite 3.3 8B Instruct and MAI-Code-1.1-Flash?
Granite 3.3 8B Instruct 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.
Which model has better throughput, Granite 3.3 8B Instruct or MAI-Code-1.1-Flash?
Granite 3.3 8B Instruct has a measured throughput of approximately 50 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.
How do I switch the models in this Granite 3.3 8B Instruct vs MAI-Code-1.1-Flash comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Granite 3.3 8B Instruct 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.
