Model comparison
Claude Fable 5 vs Ling 2.6 Flash
Head-to-head evidence from 15 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); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and Ling 2.6 Flash share 15 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Claude Fable 5; 3 to Ling 2.6 Flash.
Updated July 23, 2026- Shared results
- 15
- Claude Fable 5 only
- 19
- Ling 2.6 Flash only
- 3
- Comparable categories
- 1 / 8
Pick Claude Fable 5 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 1 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 is clearly ahead on the BenchAlign aggregate, 83.68 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in coding, where it averages 89.2 against 27.
Claude Fable 5 is the reasoning model in the pair, while Ling 2.6 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Fable 5 gives you the larger context window at 1M+, compared with 262K for Ling 2.6 Flash.
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 | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Claude Fable 589.2 | Margin← 62.2 | Ling 2.6 Flash27.0 |
| Agentic | Claude Fable 584.6 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Knowledge | Claude Fable 5Not measured | MarginNo overlap | Ling 2.6 Flash59.0 |
| Multimodal | Claude Fable 557.9 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Claude Fable 5Not measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Fable 5Not available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | Ling 2.6 Flash262K | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Claude Fable 5 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| GDPval-AASource | 1748 | 545 | Claude Fable 5 leads |
| AA Agentic IndexSource | 52.8% | 2.3% | Claude Fable 5 leads |
| τ²-bench resultsSource | 98.5% | 86% | Claude Fable 5 leads |
| GDPval-AASource | 62.4% | 2.2% | Claude Fable 5 leads |
| AA BriefcaseSource | 1574 | — | Not comparable |
| AA AutomationBenchSource | 48.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 51.1% | — | Not comparable |
| AA Harvey LABSource | 93.6% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
CodingClaude Fable 5 wins10 benchmarks
| Benchmark | Claude Fable 5 | Ling 2.6 Flash | 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% | 25.3% | Claude Fable 5 leads |
| AA-SciCodeSource | 60.2% | 27.1% | Claude Fable 5 leads |
| SciCodeSource | — | 27% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Claude Fable 5 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 14.1% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 59.3% | Claude Fable 5 leads |
| AA-HLESource | 53.3% | 6.2% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | -65.7% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 15.4% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 95.8% | Claude Fable 5 leads |
| GPQASource | — | 59% | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (2)
Which is better, Claude Fable 5 or Ling 2.6 Flash?
Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 43.87.
Which is better for coding, Claude Fable 5 or Ling 2.6 Flash?
Claude Fable 5 has the edge for coding in this comparison, averaging 89.2 versus 27. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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