Kimi K2.5 vs Ministral 3 3B
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Kimi K2.5 | Ministral 3 3B |
|---|---|---|
| Provider | Moonshot AI | Mistral |
| Input Price (1M) | $0.60 | $0.10 |
| Output Price (1M) | $3.00 | $0.10 |
| Context Window | 262,144 | 262,000 |
Verdict
Kimi K2.5 costs $0.60 per 1M input tokens and $3.00 per 1M output tokens. Ministral 3 3B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens. Ministral 3 3B is 83% cheaper on input tokens than Kimi K2.5. For output tokens, Ministral 3 3B is the more affordable option at $0.10/1M vs $3.00.
On context window, Kimi K2.5 supports 262,144 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Kimi K2.5
- ✓ You need a larger context window (262,144 tokens)
- ✓ You are already integrated with Moonshot AI
When to choose Ministral 3 3B
- ✓ You need the lowest input token cost ($ 0.10/1M)
- ✓ Your workload is output-heavy — Ministral 3 3B generates text cheaper
- ✓ You are already integrated with Mistral
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is Kimi K2.5 cheaper than Ministral 3 3B? ▼
Ministral 3 3B is cheaper on input tokens at $0.10/1M vs $0.60/1M for Kimi K2.5 — a 83% saving.
What is the context window of Kimi K2.5 vs Ministral 3 3B? ▼
Kimi K2.5 has a 262,144-token context window. Ministral 3 3B has a 262,000-token context window. Kimi K2.5 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Kimi K2.5 or Ministral 3 3B? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Ministral 3 3B is the cheaper option. For maximum context length, Kimi K2.5 supports 262,144 tokens. Use the comparison table above to find the right fit for your workload.