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Qwen3.5-Plus vs Kimi K2.6

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Qwen3.5-Plus Cost
$0.88
Kimi K2.6 Cost
$1.75
Qwen3.5-Plus is 50% cheaper
FeatureQwen3.5-PlusKimi K2.6
ProviderAlibabaMoonshot AI
Input Price (1M)$0.40$0.95
Output Price (1M)$2.40$4.00
Context Window1,000,000262,144

Verdict

Qwen3.5-Plus costs $0.40 per 1M input tokens and $2.40 per 1M output tokens. Kimi K2.6 costs $0.95 per 1M input tokens and $4.00 per 1M output tokens. Qwen3.5-Plus is 58% cheaper on input tokens than Kimi K2.6. For output tokens, Qwen3.5-Plus is the more affordable option at $2.40/1M vs $4.00.

On context window, Qwen3.5-Plus supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Qwen3.5-Plus

  • ✓ You need the lowest input token cost ($ 0.40/1M)
  • ✓ Your workload is output-heavy — Qwen3.5-Plus generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Alibaba

When to choose Kimi K2.6

  • ✓ You are already integrated with Moonshot AI

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Qwen3.5-Plus cheaper than Kimi K2.6?

Qwen3.5-Plus is cheaper on input tokens at $0.40/1M vs $0.95/1M for Kimi K2.6 — a 58% saving.

What is the context window of Qwen3.5-Plus vs Kimi K2.6?

Qwen3.5-Plus has a 1,000,000-token context window. Kimi K2.6 has a 262,144-token context window. Qwen3.5-Plus supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Qwen3.5-Plus or Kimi K2.6?

The best choice depends on your use case. For cost efficiency on input tokens, Qwen3.5-Plus is the cheaper option. For maximum context length, Qwen3.5-Plus supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.