Which is cheaper, GLM-4.7 or Magistral Small 2506?
As of August 30, 2026, Magistral Small 2506 is 29% cheaper on blended LLM API pricing. Magistral Small 2506 costs $0.50 per million input tokens and $1.50 per million output tokens ($2.00 blended 1M-in + 1M-out). GLM-4.7 costs $0.60 / $2.20 per million tokens ($2.80 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://mistral.ai/technology/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GLM-4.7 vs Magistral Small 2506 cost per million tokens?
GLM-4.7 Z AI API pricing is $0.60 input and $2.20 output per million tokens via Z AI. Magistral Small 2506 Mistral API pricing is $0.50 input and $1.50 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-4.7 or Magistral Small 2506?
GLM-4.7 has a published SWE-bench Verified score of 73.8%. Magistral Small 2506 does not have that eval on this page yet.
What is the context window for GLM-4.7 vs Magistral Small 2506?
GLM-4.7 supports a 203K token context window, while Magistral Small 2506 supports 40K tokens. GLM-4.7 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-4.7 or Magistral Small 2506?
GLM-4.7 leads on 4 of 4 shared benchmarks versus Magistral Small 2506'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-4.7 or Magistral Small 2506 better for production use?
Both GLM-4.7 and Magistral Small 2506 are production API models. For cost-sensitive production traffic, Magistral Small 2506 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-4.7 and Magistral Small 2506 in my app?
Yes. Call GLM-4.7 through Z AI and Magistral Small 2506 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-4.7 vs Magistral Small 2506 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://mistral.ai/technology/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-4.7 and Magistral Small 2506?
GLM-4.7 supports up to 131K output tokens per request, while Magistral Small 2506 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-4.7 or Magistral Small 2506?
Neither GLM-4.7 nor Magistral Small 2506 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-4.7 vs Magistral Small 2506 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-4.7 or Magistral Small 2506 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
