API cost decision in 10 seconds
Mistral Medium 3.5 vs 🔥Kimi K2.6
Pick Kimi K2.6 when budget is the priority.
Budget verdict
Pick Kimi K2.6 when budget is the priority.
On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.48 vs $5.25 for Mistral Medium 3.5, saving $2.77 (52.9% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $27.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Kimi K2.6 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Mistral Medium 3.5 | Kimi K2.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Kimi K2.6 | $11.25 | $5.39 |
| Balanced workload | 1M input + 1M output | Kimi K2.6 | $9 | $4.22 |
| Output-heavy chatbot | 1M input + 5M output | Kimi K2.6 | $39 | $18.18 |
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 K2.6 has the lower input price, Kimi K2.6 has the lower output price, and Tie offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $5.25 for Mistral Medium 3.5 and $2.48 for Kimi K2.6.
Choose Mistral Medium 3.5 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Kimi K2.6 when you care most about lower input-token price, and lower output-token price.
| Feature | Mistral Medium 3.5 (Mistral) | 🔥Kimi K2.6 (MoonshotAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.5 | $0.73 |
| Completion Price per 1M tokens | $7.5 | $3.49 |
| Sample Workload Cost 1M input + 500K output | $5.25 | $2.48 |
| Context Window | 262.14K | 262.14K |
| Release Date | 2026-04-30 | 2026-04-20 |
| Popularity | #12 |
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Kimi K2.6 | On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.48 vs $5.25 for Mistral Medium 3.5, saving $2.77 (52.9% lower). |
| High-volume input processing | Kimi K2.6 | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Kimi K2.6 | 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 and source files. |