Model comparison
Claude Sonnet 4.6 vs Ling 2.6 Flash
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Ling 2.6 Flash share 12 comparable benchmark results. 2 of 8 categories are comparable. 21 results are unique to Claude Sonnet 4.6; 6 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 12
- Claude Sonnet 4.6 only
- 21
- Ling 2.6 Flash only
- 6
- Comparable categories
- 2 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 12 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 Sonnet 4.6 is clearly ahead on the BenchAlign aggregate, 65.07 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in coding, where it averages 69.1 against 27. The single biggest benchmark swing on the page is GPQA, 89.9% to 59%.
Ling 2.6 Flash gives you the larger context window at 262K, compared with 200K for Claude Sonnet 4.6.
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 Sonnet 4.6 | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Claude Sonnet 4.669.1 | Margin← 42.1 | Ling 2.6 Flash27.0 |
| Knowledge | Claude Sonnet 4.666.0 | Margin← 7.0 | Ling 2.6 Flash59.0 |
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Claude Sonnet 4.6Not measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 89.9%B 59%Winner: Claude Sonnet 4.6Δ 30.9GPQA: Claude Sonnet 4.6 scored 89.9%; Ling 2.6 Flash scored 59%. Claude Sonnet 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Ling 2.6 Flash209.5 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Ling 2.6 Flash1.07 s | Ling 2.6 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Claude Sonnet 4.6 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 86% | Ling 2.6 Flash leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
| GDPval-AASource | — | 2.2% | Not comparable |
| GDPval-AASource | — | 545 | Not comparable |
| AA Agentic IndexSource | — | 2.3% | Not comparable |
CodingClaude Sonnet 4.6 wins9 benchmarks
| Benchmark | Claude Sonnet 4.6 | Ling 2.6 Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 27.1% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
| SciCodeSource | — | 27% | Not comparable |
| AA Coding IndexSource | — | 25.3% | Not comparable |
Reasoning2 benchmarks
KnowledgeClaude Sonnet 4.6 wins10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Ling 2.6 Flash | Result |
|---|---|---|---|
| GPQASource | 89.9% | 59% | Claude Sonnet 4.6 leads |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 14.1% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 59.3% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 6.2% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -65.7% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 15.4% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 95.8% | Claude Sonnet 4.6 leads |
Math2 benchmarks
Multimodal3 benchmarks
Frequently Asked Questions (3)
Which is better, Claude Sonnet 4.6 or Ling 2.6 Flash?
Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 89.9% and 59%.
Which is better for knowledge tasks, Claude Sonnet 4.6 or Ling 2.6 Flash?
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 66 versus 59. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 4.6 or Ling 2.6 Flash?
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 69.1 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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