Claude Fable 5.1 vs Kimi K3
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Claude Fable 5.1 | Kimi K3 |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Input Price (1M) | $10.00 | $3.00 |
| Output Price (1M) | $50.00 | $15.00 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
Claude Fable 5.1 costs $10.00 per 1M input tokens and $50.00 per 1M output tokens. Kimi K3 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. Kimi K3 is 70% cheaper on input tokens than Claude Fable 5.1. For output tokens, Kimi K3 is the more affordable option at $15.00/1M vs $50.00.
On context window, Claude Fable 5.1 supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Claude Fable 5.1
- ✓ You are already integrated with Anthropic
When to choose Kimi K3
- ✓ You need the lowest input token cost ($ 3.00/1M)
- ✓ Your workload is output-heavy — Kimi K3 generates text cheaper
- ✓ You are already integrated with Moonshot AI
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 Claude Fable 5.1 cheaper than Kimi K3? ▼
Kimi K3 is cheaper on input tokens at $3.00/1M vs $10.00/1M for Claude Fable 5.1 — a 70% saving.
What is the context window of Claude Fable 5.1 vs Kimi K3? ▼
Claude Fable 5.1 has a 1,000,000-token context window. Kimi K3 has a 1,000,000-token context window. Claude Fable 5.1 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Claude Fable 5.1 or Kimi K3? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Kimi K3 is the cheaper option. For maximum context length, Claude Fable 5.1 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.