Which is cheaper, GLM-5V-Turbo or Mistral Medium 3.5?
As of August 25, 2026, GLM-5V-Turbo is 42% cheaper on blended LLM API pricing. GLM-5V-Turbo costs $1.20 per million input tokens and $4.00 per million output tokens ($5.20 blended 1M-in + 1M-out). Mistral Medium 3.5 costs $1.50 / $7.50 per million tokens ($9.00 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GLM-5V-Turbo vs Mistral Medium 3.5 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. Mistral Medium 3.5 Mistral API pricing is $1.50 input and $7.50 output per million tokens via Mistral AI. 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 Mistral Medium 3.5?
Mistral Medium 3.5 has a published SWE-bench Verified score of 77.6%. GLM-5V-Turbo does not have that eval on this page yet.
What is the context window for GLM-5V-Turbo vs Mistral Medium 3.5?
GLM-5V-Turbo supports a 203K token context window, while Mistral Medium 3.5 supports 256K tokens. Mistral Medium 3.5 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 Mistral Medium 3.5?
GLM-5V-Turbo leads on 1 of 1 shared benchmarks versus Mistral Medium 3.5'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 GLM-5V-Turbo or Mistral Medium 3.5 better for production use?
Both GLM-5V-Turbo and Mistral Medium 3.5 are production API models. For cost-sensitive production traffic, GLM-5V-Turbo 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 Mistral Medium 3.5 in my app?
Yes. Call GLM-5V-Turbo through Z AI and Mistral Medium 3.5 through Mistral AI 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 Mistral Medium 3.5 pricing data?
List rates are the latest published Z AI API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://docs.mistral.ai/platform/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 Mistral Medium 3.5?
GLM-5V-Turbo supports up to 128K output tokens per request, while Mistral Medium 3.5 supports up to 256K 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 Mistral Medium 3.5?
Mistral Medium 3.5 has a measured throughput of approximately 1 tokens/second. Throughput data for GLM-5V-Turbo 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 GLM-5V-Turbo vs Mistral Medium 3.5 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 Mistral Medium 3.5 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
