Model comparison
Claude Fable 5 vs Kimi K3
Head-to-head evidence from 22 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #2 (Supported); Kimi K3 #4 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and Kimi K3 share 22 comparable benchmark results. 2 of 8 categories are comparable. 12 results are unique to Claude Fable 5; 35 to Kimi K3.
Updated July 23, 2026- Shared results
- 22
- Claude Fable 5 only
- 12
- Kimi K3 only
- 35
- Comparable categories
- 2 / 8
Pick Claude Fable 5 if you want the stronger benchmark profile. Kimi K3 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 5 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Fable 5 has the cleaner BenchAlign overall profile here, landing at 83.68 versus 80.96. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $3.00 input / $15.00 output per 1M tokens for Kimi K3. That is roughly 3.3x on output cost alone. Kimi K3 gives you the larger context window at 1.05M, compared with 1M+ for Claude Fable 5.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Fable 5 | Δ | Kimi K3 |
|---|---|---|---|
| Multimodal | Claude Fable 557.9 | Margin→ 20.6 | Kimi K378.5 |
| Agentic | Claude Fable 584.6 | Margin→ 4.9 | Kimi K389.5 |
| Coding | Claude Fable 589.2 | MarginNo overlap | Kimi K3Not measured |
| Knowledge | Claude Fable 5Not measured | MarginNo overlap | Kimi K361.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OfficeQA Pro
MultimodalA 57.9%B 63.3%Winner: Kimi K3Δ 5.4OfficeQA Pro: Claude Fable 5 scored 57.9%; Kimi K3 scored 63.3%. Kimi K3 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 84.3%B 88.3%Winner: Kimi K3Δ 4Terminal-Bench 2.0: Claude Fable 5 scored 84.3%; Kimi K3 scored 88.3%. Kimi K3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | Kimi K3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | Kimi K3$3 input / $15 output | Kimi K3 has the lower combined listed price. |
| Generation speedtokens per second | Claude Fable 5Not available | Kimi K3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | Kimi K3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | Kimi K31.05M | Kimi K3 lists the larger context window. |
Benchmark Deep Dive
AgenticKimi K3 wins24 benchmarks
| Benchmark | Claude Fable 5 | Kimi K3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | 88.3% | Kimi K3 leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1748 | 1679 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 50.1% | Claude Fable 5 leads |
| τ²-bench resultsSource | 98.5% | — | Not comparable |
| GDPval-AASource | 62.4% | 59.0% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | 1543 | Claude Fable 5 leads |
| AA AutomationBenchSource | 48.6% | 52.7% | Kimi K3 leads |
| AA EnterpriseOps-GymSource | 51.1% | 45.3% | Claude Fable 5 leads |
| AA Harvey LABSource | 93.6% | 94.6% | Kimi K3 leads |
| AA Tau3 BankingSource | 26.8% | 33.4% | Kimi K3 leads |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | 85% | Kimi K3 leads |
| BrowseCompSource | — | 91.2% | Not comparable |
| DeepSearchQASource | — | 95.0% | Not comparable |
| Toolathlon-VerifiedSource | — | 73.2% | Not comparable |
| MCP AtlasSource | — | 84.2% | Not comparable |
| AutomationBenchSource | — | 30.8% | Not comparable |
| JobBenchSource | — | 52.9% | Not comparable |
| APEX-AgentsSource | — | 37.6% | Not comparable |
| SpreadsheetBench 2Source | — | 34.8% | Not comparable |
| DECK-BenchSource | — | 73.5% | Not comparable |
| APEX-Agents-AASource | — | 41.3% | Not comparable |
| AA ITBenchSource | — | 47.7% | Not comparable |
Coding16 benchmarks
| Benchmark | Claude Fable 5 | Kimi K3 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | — | Not comparable |
| SWE-bench ProSource | 80% | — | Not comparable |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 76.5% | 76.2% | Claude Fable 5 leads |
| AA-SciCodeSource | 60.2% | 58.7% | Claude Fable 5 leads |
| deepSweSource | — | 67.5% | Not comparable |
| FrontierSWESource | — | 81.2% | Not comparable |
| ProgramBenchSource | — | 77.8% | Not comparable |
| Kimi Code Bench v2Source | — | 72.9% | Not comparable |
| sweMarathonSource | — | 42% | Not comparable |
| PostTrain BenchSource | — | 36.6% | Not comparable |
| MLS-Bench LiteSource | — | 48.3% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Fable 5 | Kimi K3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 57.1% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 93.5% | Kimi K3 leads |
| AA-HLESource | 53.3% | 44.3% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | 18.4% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 46.0% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 50.9% | Kimi K3 leads |
| GPQASource | — | 93.5% | Not comparable |
| GPQA-DSource | — | 93.5% | Not comparable |
| HLESource | — | 56% | Not comparable |
| HLE w/o toolsSource | — | 43.5% | Not comparable |
MultimodalKimi K3 wins16 benchmarks
| Benchmark | Claude Fable 5 | Kimi K3 | Result |
|---|---|---|---|
| Blueprint-Bench 2Source | 38.6% | — | Not comparable |
| OfficeQA ProSource | 57.9% | 63.3% | Kimi K3 leads |
| Design Arena WebsiteSource | 1332 | 1386 | Kimi K3 leads |
| MMMU-ProSource | — | 81.6% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 83.4% | Not comparable |
| CharXiv w/o toolsSource | — | 84.8% | Not comparable |
| CharXivSource | — | 91.3% | Not comparable |
| MathVisionSource | — | 94.3% | Not comparable |
| MathVision w/ PythonSource | — | 97.8% | Not comparable |
| BabyVision w/ PythonSource | — | 85.7% | Not comparable |
| ZeroBenchSource | — | 23.0% | Not comparable |
| ZeroBench w/ PythonSource | — | 41.0% | Not comparable |
| WorldVQA ForceAnswerSource | — | 51.0% | Not comparable |
| OmniDocBenchSource | — | 91.1% | Not comparable |
| PerceptionBenchSource | — | 58.5% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Fable 5 | Kimi K3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | — | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Fable 5 or Kimi K3?
Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 80.96. The biggest single separator in this matchup is OfficeQA Pro, where the scores are 57.9% and 63.3%.
Which is better for agentic tasks, Claude Fable 5 or Kimi K3?
Kimi K3 has the edge for agentic tasks in this comparison, averaging 89.5 versus 84.6. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Fable 5 or Kimi K3?
Kimi K3 has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 57.9. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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