Which is cheaper, Qwen3.5-122B-A10B or Qwen3.8-27B?
As of August 20, 2026, Qwen3.5-122B-A10B is 1% cheaper on blended LLM API pricing. Qwen3.5-122B-A10B costs $0.40 per million input tokens and $3.20 per million output tokens ($3.60 blended 1M-in + 1M-out). Qwen3.8-27B costs $0.45 / $3.20 per million tokens ($3.65 blended). Sources: https://bailian.console.aliyun.com/ and https://www.alibabacloud.com/help/en/model-studio/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Qwen3.5-122B-A10B vs Qwen3.8-27B cost per million tokens?
Qwen3.5-122B-A10B Qwen API pricing is $0.40 input and $3.20 output per million tokens via Qwen. Qwen3.8-27B Qwen API pricing is $0.45 input and $3.20 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, Qwen3.5-122B-A10B or Qwen3.8-27B?
Qwen3.5-122B-A10B has a published SWE-bench Verified score of 72%. Qwen3.8-27B does not have that eval on this page yet.
What is the context window for Qwen3.5-122B-A10B vs Qwen3.8-27B?
Qwen3.5-122B-A10B supports a 262K token context window, while Qwen3.8-27B supports 262K 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, Qwen3.5-122B-A10B or Qwen3.8-27B?
Qwen3.8-27B leads on 10 of 11 shared benchmarks versus Qwen3.5-122B-A10B's 1 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 Qwen3.5-122B-A10B or Qwen3.8-27B better for production use?
Both Qwen3.5-122B-A10B and Qwen3.8-27B are production API models. For cost-sensitive production traffic, Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B and Qwen3.8-27B in my app?
Yes. Call Qwen3.5-122B-A10B through Qwen and Qwen3.8-27B 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 Qwen3.5-122B-A10B vs Qwen3.8-27B pricing data?
List rates are the latest published Qwen API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://bailian.console.aliyun.com/ and https://www.alibabacloud.com/help/en/model-studio/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 Qwen3.5-122B-A10B and Qwen3.8-27B?
Qwen3.5-122B-A10B supports up to 64K output tokens per request, while Qwen3.8-27B 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, Qwen3.5-122B-A10B or Qwen3.8-27B?
Neither Qwen3.5-122B-A10B nor Qwen3.8-27B 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 Qwen3.5-122B-A10B vs Qwen3.8-27B comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Qwen3.5-122B-A10B or Qwen3.8-27B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
