Which is cheaper, MAI-Code-1.1-Flash or Qwen3-Next-80B-A3B-Instruct?
As of August 20, 2026, MAI-Code-1.1-Flash is 15% cheaper on blended LLM API pricing. MAI-Code-1.1-Flash costs $0.20 per million input tokens and $1.20 per million output tokens ($1.40 blended 1M-in + 1M-out). Qwen3-Next-80B-A3B-Instruct costs $0.15 / $1.50 per million tokens ($1.65 blended). Sources: https://ai.azure.com and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does MAI-Code-1.1-Flash vs Qwen3-Next-80B-A3B-Instruct cost per million tokens?
MAI-Code-1.1-Flash Microsoft API pricing is $0.20 input and $1.20 output per million tokens via Microsoft. Qwen3-Next-80B-A3B-Instruct 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, MAI-Code-1.1-Flash or Qwen3-Next-80B-A3B-Instruct?
MAI-Code-1.1-Flash has a published SWE-bench Verified score of 72.6%. Qwen3-Next-80B-A3B-Instruct does not have that eval on this page yet.
What is the context window for MAI-Code-1.1-Flash vs Qwen3-Next-80B-A3B-Instruct?
MAI-Code-1.1-Flash supports a 256K token context window, while Qwen3-Next-80B-A3B-Instruct supports 66K tokens. MAI-Code-1.1-Flash 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-Code-1.1-Flash or Qwen3-Next-80B-A3B-Instruct?
Shared benchmark scores for MAI-Code-1.1-Flash and Qwen3-Next-80B-A3B-Instruct 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 MAI-Code-1.1-Flash or Qwen3-Next-80B-A3B-Instruct better for production use?
Both MAI-Code-1.1-Flash and Qwen3-Next-80B-A3B-Instruct are production API models. For cost-sensitive production traffic, MAI-Code-1.1-Flash 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-Code-1.1-Flash and Qwen3-Next-80B-A3B-Instruct in my app?
Yes. Call MAI-Code-1.1-Flash through Microsoft and Qwen3-Next-80B-A3B-Instruct 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 MAI-Code-1.1-Flash vs Qwen3-Next-80B-A3B-Instruct pricing data?
List rates are the latest published Microsoft API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://ai.azure.com 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 MAI-Code-1.1-Flash and Qwen3-Next-80B-A3B-Instruct?
MAI-Code-1.1-Flash supports up to an unspecified number of output tokens per request, while Qwen3-Next-80B-A3B-Instruct 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, MAI-Code-1.1-Flash or Qwen3-Next-80B-A3B-Instruct?
Neither MAI-Code-1.1-Flash nor Qwen3-Next-80B-A3B-Instruct 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-Code-1.1-Flash vs Qwen3-Next-80B-A3B-Instruct comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open MAI-Code-1.1-Flash or Qwen3-Next-80B-A3B-Instruct from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
