Qwen3 VL 235B A22B Thinking is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).
API cost decision in 10 seconds
Kimi K2.5 vs Qwen3 VL 235B A22B Thinking
Pick Kimi K2.5 when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Kimi K2.5 when budget and context both matter.
On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.21 (13.5% lower).
Cost-first pickKimi K2.5
Context-first pickKimi K2.5
Sample savings$0.2113.5%
10x traffic gap$2.1
Kimi K2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Qwen3 VL 235B A22B Thinking, balanced workload favors Kimi K2.5, and output-heavy chatbot favors Kimi K2.5.
| Workload shape | Token mix | Better pick | Kimi K2.5 | Qwen3 VL 235B A22B Thinking |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 VL 235B A22B Thinking | $2.95 | $2.6 |
| Balanced workload | 1M input + 1M output | Kimi K2.5 | $2.3 | $2.86 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K2.5 | $9.9 | $13.26 |
Kimi K2.5 is $0.7 cheaper per 1M output tokens (26.9% lower; 1.37x difference).
Kimi K2.5 has 131.07K more context (2x larger).
Kimi K2.5 is $0.21 cheaper on the standard workload (13.5% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3 VL 235B A22B Thinking has the lower input price; Kimi K2.5 has the lower output price; Kimi K2.5 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2.5 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.35 for Kimi K2.5 and $1.56 for Qwen3 VL 235B A22B Thinking.
Choose Kimi K2.5 when you care most about lower output-token price, and larger context window.
Choose Qwen3 VL 235B A22B Thinking when you care most about lower input-token price.
- On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.21 (13.5% lower).
- Kimi K2.5 is $0.21 cheaper on the standard workload (13.5% lower).
- Qwen3 VL 235B A22B Thinking is $0.14 cheaper per 1M input tokens (35% lower; 1.54x difference).
- Kimi K2.5 is $0.7 cheaper per 1M output tokens (26.9% lower; 1.37x difference).
- Kimi K2.5 has 131.07K more context (2x larger).
| Feature | Kimi K2.5 (MoonshotAI) | Qwen3 VL 235B A22B Thinking (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.26 |
| Completion Price per 1M tokens | $1.9 | $2.6 |
| Sample Workload Cost 1M input + 500K output | $1.35 | $1.56 |
| Context Window | 262.14K | 131.07K |
| Release Date | ||
| Popularity | #33 | #103 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K2.5 | On the standard 1M input plus 500K output workload, Kimi K2.5 is estimated at $1.35 vs $1.56 for Qwen3 VL 235B A22B Thinking, saving $0.21 (13.5% lower). |
| High-volume input processing | Qwen3 VL 235B A22B Thinking | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Kimi K2.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Kimi K2.6 (free) can replace Kimi K2.5 when lower sample workload cost matters most: $0.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 VL 235B A22B Thinking when lower sample workload cost matters most: $0.09.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- Hy3 preview · Tencent · #1
- MiMo-V2.5 · Xiaomi · #2
- DeepSeek V4 Flash · DeepSeek · #3
- Owl Alpha · OpenRouter · #4
Cheaper alternatives
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Open Qwen modelsKimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....