Which is cheaper, GLM-5V-Turbo or MedGemma 4B IT?
As of August 30, 2026, MedGemma 4B IT is 99% 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). GLM-5V-Turbo costs $1.20 / $4.00 per million tokens ($5.20 blended). Sources: https://docs.z.ai/guides/overview/pricing 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 GLM-5V-Turbo vs MedGemma 4B IT cost per million tokens?
GLM-5V-Turbo Z AI API pricing is $1.20 input and $4.00 output per million tokens via Z AI. 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, GLM-5V-Turbo or MedGemma 4B IT?
Neither GLM-5V-Turbo nor MedGemma 4B IT has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.
What is the context window for GLM-5V-Turbo vs MedGemma 4B IT?
GLM-5V-Turbo supports a 203K token context window, while MedGemma 4B IT supports 33K tokens. GLM-5V-Turbo 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, GLM-5V-Turbo or MedGemma 4B IT?
Shared benchmark scores for GLM-5V-Turbo and MedGemma 4B IT 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 GLM-5V-Turbo or MedGemma 4B IT better for production use?
Both GLM-5V-Turbo 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 GLM-5V-Turbo and MedGemma 4B IT in my app?
Yes. Call GLM-5V-Turbo through Z AI 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 GLM-5V-Turbo vs MedGemma 4B IT pricing data?
List rates are the latest published Z AI API pricing and Gemini API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing 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 GLM-5V-Turbo and MedGemma 4B IT?
GLM-5V-Turbo supports up to 128K 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, GLM-5V-Turbo or MedGemma 4B IT?
Neither GLM-5V-Turbo 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 GLM-5V-Turbo 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 GLM-5V-Turbo 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.