Kimi K3 (batch) is $0.22 cheaper per 1M input tokens (8.8% lower; 1.1x difference).
API cost decision in 10 seconds
NewPareto Latest vs Kimi K3 (batch)
Pick Pareto Latest for lower cost; pick Kimi K3 (batch) only if the larger context window matters more.
Budget verdict
Pick Pareto Latest for lower cost; pick Kimi K3 (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Pareto Latest is estimated at $6.25 vs $7.98 for Kimi K3 (batch), saving $1.73 (21.7% lower).
Kimi K3 (batch) has more context, but Pareto Latest saves $1.73 on the standard workload. At 10x that traffic, the same price gap is about $17.3. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Pareto Latest stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Pareto Latest | Kimi K3 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Pareto Latest | $16.25 | $17.1 |
| Balanced workload | 1M input + 1M output | Pareto Latest | $10 | $13.68 |
| Output-heavy chatbot | 1M input + 5M output | Pareto Latest | $40 | $59.28 |
Pareto Latest is $3.9 cheaper per 1M output tokens (34.2% lower; 1.52x difference).
Kimi K3 (batch) has 786.43K more context (4x larger).
Pareto Latest is $1.73 cheaper on the standard workload (21.7% 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
Kimi K3 (batch) has the lower input price; Pareto Latest has the lower output price; Kimi K3 (batch) offers the larger context window. For the 1M input plus 500K output sample, Pareto Latest is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Pareto Latest and $7.98 for Kimi K3 (batch).
Choose Pareto Latest when you care most about lower output-token price.
Choose Kimi K3 (batch) when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Pareto Latest is estimated at $6.25 vs $7.98 for Kimi K3 (batch), saving $1.73 (21.7% lower).
- Pareto Latest is $1.73 cheaper on the standard workload (21.7% lower).
- Kimi K3 (batch) is $0.22 cheaper per 1M input tokens (8.8% lower; 1.1x difference).
- Pareto Latest is $3.9 cheaper per 1M output tokens (34.2% lower; 1.52x difference).
- Kimi K3 (batch) has 786.43K more context (4x larger).
| Feature | NewPareto Latest (unbiased) | Kimi K3 (batch) (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2.5 | $2.28 |
| Completion Price per 1M tokens | $7.5 | $11.4 |
| Sample Workload Cost 1M input + 500K output | $6.25 | $7.98 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Pareto Latest | On the standard 1M input plus 500K output workload, Pareto Latest is estimated at $6.25 vs $7.98 for Kimi K3 (batch), saving $1.73 (21.7% lower). |
| High-volume input processing | Kimi K3 (batch) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Pareto Latest | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Kimi K3 (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Pareto 26.10 Preview can replace Pareto Latest when lower sample workload cost matters most: $2.4.
- Kimi K2.7 Code (free) can replace Kimi K3 (batch) when lower sample workload cost matters most: $0.
- Kimi K2.6 (free) can replace Kimi K3 (batch) when lower sample workload cost matters most: $0.
- Kimi K2 0711 can replace Kimi K3 (batch) when lower sample workload cost matters most: $1.72.
- Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
- MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
- DeepSeek V4.1 Flash · DeepSeek · #1
- Step 5 Preview · StepFun · #2
- GLM 5.3 Flash · Z.ai · #3
- MiMo-V2.6-Flash · Xiaomi · #4
Cheaper alternatives
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Open cheapest modelsLarger context alternatives
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Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...