Which is cheaper, GLM-4.5V or Qwen3-Next-80B-A3B-Thinking?
As of August 20, 2026, Qwen3-Next-80B-A3B-Thinking is 31% cheaper on blended LLM API pricing. Qwen3-Next-80B-A3B-Thinking costs $0.15 per million input tokens and $1.50 per million output tokens ($1.65 blended 1M-in + 1M-out). GLM-4.5V costs $0.60 / $1.80 per million tokens ($2.40 blended). Sources: https://docs.z.ai/guides/overview/pricing and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GLM-4.5V vs Qwen3-Next-80B-A3B-Thinking cost per million tokens?
GLM-4.5V Z AI API pricing is $0.60 input and $1.80 output per million tokens via Z AI. Qwen3-Next-80B-A3B-Thinking Qwen API pricing is $0.15 input and $1.50 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GLM-4.5V or Qwen3-Next-80B-A3B-Thinking?
Neither GLM-4.5V nor Qwen3-Next-80B-A3B-Thinking 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-4.5V vs Qwen3-Next-80B-A3B-Thinking?
GLM-4.5V supports a 66K token context window, while Qwen3-Next-80B-A3B-Thinking supports 66K tokens. Both models have the same context window size. 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-4.5V or Qwen3-Next-80B-A3B-Thinking?
Shared benchmark scores for GLM-4.5V and Qwen3-Next-80B-A3B-Thinking 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-4.5V or Qwen3-Next-80B-A3B-Thinking better for production use?
Both GLM-4.5V and Qwen3-Next-80B-A3B-Thinking are production API models. For cost-sensitive production traffic, Qwen3-Next-80B-A3B-Thinking 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-4.5V and Qwen3-Next-80B-A3B-Thinking in my app?
Yes. Call GLM-4.5V through Z AI and Qwen3-Next-80B-A3B-Thinking through Qwen 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-4.5V vs Qwen3-Next-80B-A3B-Thinking pricing data?
List rates are the latest published Z AI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://docs.z.ai/guides/overview/pricing and https://bailian.console.aliyun.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 GLM-4.5V and Qwen3-Next-80B-A3B-Thinking?
GLM-4.5V supports up to 131K output tokens per request, while Qwen3-Next-80B-A3B-Thinking supports up to 66K 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-4.5V or Qwen3-Next-80B-A3B-Thinking?
Neither GLM-4.5V nor Qwen3-Next-80B-A3B-Thinking 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-4.5V vs Qwen3-Next-80B-A3B-Thinking comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GLM-4.5V or Qwen3-Next-80B-A3B-Thinking from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
