Both models report the same input price at $0.4 per 1M tokens.
API cost decision in 10 seconds
Kimi K2.5 vs Llama 3.1 70B Instruct
Pick Llama 3.1 70B Instruct for lower cost; pick Kimi K2.5 only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Llama 3.1 70B Instruct for lower cost; pick Kimi K2.5 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $1.35 for Kimi K2.5, saving $0.75 (55.6% lower).
Cost-first pickLlama 3.1 70B Instruct
Context-first pickKimi K2.5
Sample savings$0.7555.6%
10x traffic gap$7.5
Kimi K2.5 has more context, but Llama 3.1 70B Instruct saves $0.75 on the standard workload. At 10x that traffic, the same price gap is about $7.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Llama 3.1 70B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Kimi K2.5 | Llama 3.1 70B Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Llama 3.1 70B Instruct | $2.95 | $2.2 |
| Balanced workload | 1M input + 1M output | Llama 3.1 70B Instruct | $2.3 | $0.8 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3.1 70B Instruct | $9.9 | $2.4 |
Llama 3.1 70B Instruct is $1.5 cheaper per 1M output tokens (78.9% lower; 4.75x difference).
Kimi K2.5 has 131.07K more context (2x larger).
Llama 3.1 70B Instruct is $0.75 cheaper on the standard workload (55.6% 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
both models tie on input price; Llama 3.1 70B Instruct has the lower output price; Kimi K2.5 offers the larger context window. For the 1M input plus 500K output sample, Llama 3.1 70B Instruct 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 $0.6 for Llama 3.1 70B Instruct.
Choose Kimi K2.5 when you care most about larger context window.
Choose Llama 3.1 70B Instruct when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $1.35 for Kimi K2.5, saving $0.75 (55.6% lower).
- Llama 3.1 70B Instruct is $0.75 cheaper on the standard workload (55.6% lower).
- Both models report the same input price at $0.4 per 1M tokens.
- Llama 3.1 70B Instruct is $1.5 cheaper per 1M output tokens (78.9% lower; 4.75x difference).
- Kimi K2.5 has 131.07K more context (2x larger).
| Feature | Kimi K2.5 (MoonshotAI) | Llama 3.1 70B Instruct (Meta) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0.4 |
| Completion Price per 1M tokens | $1.9 | $0.4 |
| Sample Workload Cost 1M input + 500K output | $1.35 | $0.6 |
| Context Window | 262.14K | 131.07K |
| Release Date | ||
| Popularity | #36 | #87 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Llama 3.1 70B Instruct | On the standard 1M input plus 500K output workload, Llama 3.1 70B Instruct is estimated at $0.6 vs $1.35 for Kimi K2.5, saving $0.75 (55.6% lower). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Llama 3.1 70B Instruct | 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
- Llama 3.3 70B Instruct (free) can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.04.
- Llama 3 8B Instruct can replace Llama 3.1 70B Instruct when lower sample workload cost matters most: $0.06.
- 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
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