Kimi K3 is $0.45 cheaper per 1M input tokens (15% lower; 1.18x difference).
API cost decision in 10 seconds
🔥Kimi K3 vs Kimi K3 (batch)
Pick Kimi K3 when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Kimi K3 when budget is the priority.
On the standard 1M input plus 500K output workload, Kimi K3 is estimated at $8.93 vs $10.5 for Kimi K3 (batch), saving $1.57 (15% lower).
Cost-first pickKimi K3
Context-first pickBoth models
Sample savings$1.5715%
10x traffic gap$15.75
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $15.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Kimi K3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Kimi K3 | Kimi K3 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K3 | $19.12 | $22.5 |
| Balanced workload | 1M input + 1M output | Kimi K3 | $15.3 | $18 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K3 | $66.3 | $78 |
Kimi K3 is $2.25 cheaper per 1M output tokens (15% lower; 1.18x difference).
Both models report the same context window at 1.05M tokens.
Kimi K3 is $1.57 cheaper on the standard workload (15% 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 has the lower input price; Kimi K3 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Kimi K3 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $8.93 for Kimi K3 and $10.5 for Kimi K3 (batch).
Choose Kimi K3 when you care most about lower input-token price, and lower output-token price.
Choose Kimi K3 (batch) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Kimi K3 is estimated at $8.93 vs $10.5 for Kimi K3 (batch), saving $1.57 (15% lower).
- Kimi K3 is $1.57 cheaper on the standard workload (15% lower).
- Kimi K3 is $0.45 cheaper per 1M input tokens (15% lower; 1.18x difference).
- Kimi K3 is $2.25 cheaper per 1M output tokens (15% lower; 1.18x difference).
- Both models report the same context window at 1.05M tokens.
| Feature | 🔥Kimi K3 (MoonshotAI) | Kimi K3 (batch) (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $2.55 | $3 |
| Completion Price per 1M tokens | $12.75 | $15 |
| Sample Workload Cost 1M input + 500K output | $8.93 | $10.5 |
| Context Window | 1.05M | 1.05M |
| Release Date | ||
| Popularity | #12 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K3 | On the standard 1M input plus 500K output workload, Kimi K3 is estimated at $8.93 vs $10.5 for Kimi K3 (batch), saving $1.57 (15% lower). |
| High-volume input processing | Kimi K3 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Kimi K3 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Kimi K2.7 Code (free) can replace Kimi K3 when lower sample workload cost matters most: $0.
- Kimi K2.6 (free) can replace Kimi K3 when lower sample workload cost matters most: $0.
- Kimi K2 0711 can replace Kimi K3 when lower sample workload cost matters most: $1.72.
- Kimi K2 Thinking can replace Kimi K3 when lower sample workload cost matters most: $1.85.
- 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.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.1 sample workload cost.
- GLM 5.3 offers 1.31M context with $3.6 sample workload cost.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Nemotron 3 Ultra (free) · NVIDIA · #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 modelsKimi 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...
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...