Which is cheaper, Kimi K3 or Qwen3 VL 235B A22B Thinking?
As of August 20, 2026, Qwen3 VL 235B A22B Thinking is 78% cheaper on blended LLM API pricing. Qwen3 VL 235B A22B Thinking costs $0.45 per million input tokens and $3.49 per million output tokens ($3.94 blended 1M-in + 1M-out). Kimi K3 costs $3.00 / $15.00 per million tokens ($18.00 blended). Sources: https://platform.kimi.com/docs/pricing/chat and https://bailian.console.aliyun.com/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Kimi K3 vs Qwen3 VL 235B A22B Thinking cost per million tokens?
Kimi K3 Moonshot AI API pricing is $3.00 input and $15.00 output per million tokens via Moonshot AI. Qwen3 VL 235B A22B Thinking Qwen API pricing is $0.45 input and $3.49 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, Kimi K3 or Qwen3 VL 235B A22B Thinking?
Kimi K3 has a published SWE-bench Verified score of 93.4%. Qwen3 VL 235B A22B Thinking does not have that eval on this page yet.
What is the context window for Kimi K3 vs Qwen3 VL 235B A22B Thinking?
Kimi K3 supports a 1M token context window, while Qwen3 VL 235B A22B Thinking supports 262K tokens. Kimi K3 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, Kimi K3 or Qwen3 VL 235B A22B Thinking?
Kimi K3 leads on 7 of 9 shared benchmarks versus Qwen3 VL 235B A22B Thinking's 2 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 Kimi K3 or Qwen3 VL 235B A22B Thinking better for production use?
Both Kimi K3 and Qwen3 VL 235B A22B Thinking are production API models. For cost-sensitive production traffic, Qwen3 VL 235B A22B 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 Kimi K3 and Qwen3 VL 235B A22B Thinking in my app?
Yes. Call Kimi K3 through Moonshot AI and Qwen3 VL 235B A22B 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 Kimi K3 vs Qwen3 VL 235B A22B Thinking pricing data?
List rates are the latest published Moonshot AI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://platform.kimi.com/docs/pricing/chat 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 Kimi K3 and Qwen3 VL 235B A22B Thinking?
Kimi K3 supports up to 1M output tokens per request, while Qwen3 VL 235B A22B Thinking supports up to 262K 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, Kimi K3 or Qwen3 VL 235B A22B Thinking?
Kimi K3 has a measured throughput of approximately 8.253358168863906 tokens/second. Throughput data for Qwen3 VL 235B A22B Thinking 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 Kimi K3 vs Qwen3 VL 235B A22B Thinking comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Kimi K3 or Qwen3 VL 235B A22B 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.
