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Kimi K2.5 vs Qwen3.7-Plus

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Kimi K2.5 Cost
$1.20
Qwen3.7-Plus Cost
$0.72
Qwen3.7-Plus is 40% cheaper
FeatureKimi K2.5Qwen3.7-Plus
ProviderMoonshot AIAlibaba
Input Price (1M)$0.60$0.40
Output Price (1M)$3.00$1.60
Context Window262,1441,000,000

Verdict

Kimi K2.5 costs $0.60 per 1M input tokens and $3.00 per 1M output tokens. Qwen3.7-Plus costs $0.40 per 1M input tokens and $1.60 per 1M output tokens. Qwen3.7-Plus is 33% cheaper on input tokens than Kimi K2.5. For output tokens, Qwen3.7-Plus is the more affordable option at $1.60/1M vs $3.00.

On context window, Qwen3.7-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 Kimi K2.5

  • ✓ You are already integrated with Moonshot AI

When to choose Qwen3.7-Plus

  • ✓ You need the lowest input token cost ($ 0.40/1M)
  • ✓ Your workload is output-heavy — Qwen3.7-Plus generates text cheaper
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Alibaba

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 Kimi K2.5 cheaper than Qwen3.7-Plus?

Qwen3.7-Plus is cheaper on input tokens at $0.40/1M vs $0.60/1M for Kimi K2.5 — a 33% saving.

What is the context window of Kimi K2.5 vs Qwen3.7-Plus?

Kimi K2.5 has a 262,144-token context window. Qwen3.7-Plus has a 1,000,000-token context window. Qwen3.7-Plus supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Kimi K2.5 or Qwen3.7-Plus?

The best choice depends on your use case. For cost efficiency on input tokens, Qwen3.7-Plus is the cheaper option. For maximum context length, Qwen3.7-Plus supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.