Which is cheaper, MAI-Thinking-1 or MedGemma 4B IT?
As of August 30, 2026, MedGemma 4B IT is 92% cheaper on blended LLM API pricing. MedGemma 4B IT costs $0.02 per million input tokens and $0.04 per million output tokens ($0.06 blended 1M-in + 1M-out). MAI-Thinking-1 costs $0.15 / $0.60 per million tokens ($0.75 blended). Sources: https://azure.microsoft.com/pricing/details/azure-openai-service/ and https://ai.google.dev/gemini-api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does MAI-Thinking-1 vs MedGemma 4B IT cost per million tokens?
MAI-Thinking-1 Microsoft API pricing is $0.15 input and $0.60 output per million tokens via Microsoft. MedGemma 4B IT Gemini API pricing is $0.02 input and $0.04 output per million tokens via Google. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, MAI-Thinking-1 or MedGemma 4B IT?
MAI-Thinking-1 has a published SWE-bench Verified score of 73.5%. MedGemma 4B IT does not have that eval on this page yet.
What is the context window for MAI-Thinking-1 vs MedGemma 4B IT?
MAI-Thinking-1 supports a 128K token context window, while MedGemma 4B IT supports 33K tokens. MAI-Thinking-1 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, MAI-Thinking-1 or MedGemma 4B IT?
MAI-Thinking-1 leads on 1 of 1 shared benchmarks versus MedGemma 4B IT's 0 wins. 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 MAI-Thinking-1 or MedGemma 4B IT better for production use?
Both MAI-Thinking-1 and MedGemma 4B IT are production API models. For cost-sensitive production traffic, MedGemma 4B IT 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 MAI-Thinking-1 and MedGemma 4B IT in my app?
Yes. Call MAI-Thinking-1 through Microsoft and MedGemma 4B IT through Google 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 MAI-Thinking-1 vs MedGemma 4B IT pricing data?
List rates are the latest published Microsoft API pricing and Gemini API pricing, quoted per million tokens. Official rate sheets: https://azure.microsoft.com/pricing/details/azure-openai-service/ and https://ai.google.dev/gemini-api/docs/pricing. 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 MAI-Thinking-1 and MedGemma 4B IT?
MAI-Thinking-1 supports up to an unspecified number of output tokens per request, while MedGemma 4B IT 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, MAI-Thinking-1 or MedGemma 4B IT?
Neither MAI-Thinking-1 nor MedGemma 4B IT has published throughput data on this page yet. 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 MAI-Thinking-1 vs MedGemma 4B IT comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MAI-Thinking-1 or MedGemma 4B IT from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
