Claude Fable 5 vs Kimi K2.6
Select two models to compare their coding performance, pricing, and features.
Key Takeaways
| Metric | Claude Fable 5 | Kimi K2.6 |
|---|---|---|
| Coding Index | 114.18 | — Score awaiting verification |
| Coding tier | S | — |
| Input Price | $10/1M | $0.65/1M |
| Output Price | $50/1M | $3.41/1M |
| Context Window | 1M | 262.14K |
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Verdict
Models awaiting tier review remain in the catalog. An unassigned tier does not mean weaker capability.
Capabilities & Use Cases Comparison
Claude Fable 5 Tier S
- •Complex architecture
- •Multi-file refactoring
- •Claude Code
- •Code review
- •Highest coding benchmark score
- •Adaptive reasoning with Opus fallback
- •Top-tier architecture design
- •Best for complex coding tasks
Kimi K2.6 Tier —
- •Web development
- •Bilingual coding
- •Chinese market
- •Full-stack apps
- •Strong Chinese and English coding support
- •Good at web development tasks
- •Competitive pricing
- •Growing ecosystem in Asia
Claude Fable 5
Benchmark evidence and ranking method · Claude Fable 5
Cross-checked
Terminal-Bench 4.0 · Claude Code · max: 44.55% · 95% CI ± 3.85%
Artificial Analysis · Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
Test configuration: max
Terminal-Bench 2.1: 84.64% · SciCode: 61.00%
LiveBench · 2026-06-25 · claude-fable-5-max-effort
Coding: 85.99% · Agentic Coding: 62.17%
ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.
DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.
Kimi K2.6
Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.
API cost estimate
1M input + 200K output (USD):
Claude Fable 5: $20.0000
Kimi K2.6: $1.3320
Estimates use the displayed channel and time band; DeepSeek uses peak rates. Cache discounts, tool fees, long-context price tiers and uncounted additional tokens are excluded.
Frequently Asked Questions
Which model is better for coding: Claude Fable 5 or Kimi K2.6?
A comparable reference index is unavailable for one or both models; no index-based winner is assigned. Editorial tiers: Claude Fable 5 = S; Kimi K2.6 = No tier assessment yet. Tiers are separate editorial assessments and do not establish a reliable order within a tier.
How do Claude Fable 5 and Kimi K2.6 compare in API pricing and costs?
Claude Fable 5: $10/1M input, $50/1M output (OpenRouter quote); Kimi K2.6: $0.65/1M input, $3.41/1M output (OpenRouter quote). 1M input + 200K output (USD): $20.0000 vs $1.3320.
What are the context window sizes of Claude Fable 5 and Kimi K2.6?
Claude Fable 5 provides a 1,000,000 token context window, while Kimi K2.6 provides 262,144 tokens.