Qwen3 14B is $0.5 cheaper per 1M input tokens (83.3% lower; 6x difference).
API cost decision in 10 seconds
Kimi K2 0905 vs Qwen3 14B
Pick Qwen3 14B for lower cost; pick Kimi K2 0905 only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3 14B for lower cost; pick Kimi K2 0905 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $1.85 for Kimi K2 0905, saving $1.63 (88.1% lower).
Cost-first pickQwen3 14B
Context-first pickKimi K2 0905
Sample savings$1.6388.1%
10x traffic gap$16.3
Kimi K2 0905 has more context, but Qwen3 14B saves $1.63 on the standard workload. At 10x that traffic, the same price gap is about $16.3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 14B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Kimi K2 0905 | Qwen3 14B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 14B | $4.25 | $0.62 |
| Balanced workload | 1M input + 1M output | Qwen3 14B | $3.1 | $0.34 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 14B | $13.1 | $1.3 |
Qwen3 14B is $2.26 cheaper per 1M output tokens (90.4% lower; 10.4x difference).
Kimi K2 0905 has 130.44K more context (1.99x larger).
Qwen3 14B is $1.63 cheaper on the standard workload (88.1% 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 14B has the lower input price; Qwen3 14B has the lower output price; Kimi K2 0905 offers the larger context window. For the 1M input plus 500K output sample, Qwen3 14B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.85 for Kimi K2 0905 and $0.22 for Qwen3 14B.
Choose Kimi K2 0905 when you care most about larger context window.
Choose Qwen3 14B when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $1.85 for Kimi K2 0905, saving $1.63 (88.1% lower).
- Qwen3 14B is $1.63 cheaper on the standard workload (88.1% lower).
- Qwen3 14B is $0.5 cheaper per 1M input tokens (83.3% lower; 6x difference).
- Qwen3 14B is $2.26 cheaper per 1M output tokens (90.4% lower; 10.4x difference).
- Kimi K2 0905 has 130.44K more context (1.99x larger).
| Feature | Kimi K2 0905 (MoonshotAI) | Qwen3 14B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.6 | $0.1 |
| Completion Price per 1M tokens | $2.5 | $0.24 |
| Sample Workload Cost 1M input + 500K output | $1.85 | $0.22 |
| Context Window | 262.14K | 131.7K |
| Release Date | ||
| Popularity | #70 | #138 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 14B | On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $1.85 for Kimi K2 0905, saving $1.63 (88.1% lower). |
| High-volume input processing | Qwen3 14B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 14B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K2 0905 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Kimi K2.5 can replace Kimi K2 0905 when lower sample workload cost matters most: $1.35.
- Kimi K2 0711 can replace Kimi K2 0905 when lower sample workload cost matters most: $1.72.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 14B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 14B when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsMoonshotAI catalog
Review all tracked MoonshotAI models before deciding whether this matchup is the right shortlist.
Open MoonshotAI modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsKimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...