Model comparison
Claude Opus 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 Opus 4.6 #16 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Ling 2.6 Flash share 12 comparable benchmark results. 2 of 8 categories are comparable. 34 results are unique to Claude Opus 4.6; 6 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 12
- Claude Opus 4.6 only
- 34
- Ling 2.6 Flash only
- 6
- Comparable categories
- 2 / 8
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
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 Opus 4.6 is clearly ahead on the BenchAlign aggregate, 68.59 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 68.1 against 27. The single biggest benchmark swing on the page is GPQA, 91.3% to 59%.
Claude Opus 4.6 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 Opus 4.6 | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Claude Opus 4.668.1 | Margin← 41.1 | Ling 2.6 Flash27.0 |
| Knowledge | Claude Opus 4.669.1 | Margin← 10.1 | Ling 2.6 Flash59.0 |
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Math | Claude Opus 4.636.3 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Claude Opus 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 91.3%B 59%Winner: Claude Opus 4.6Δ 32.3GPQA: Claude Opus 4.6 scored 91.3%; Ling 2.6 Flash scored 59%. Claude Opus 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.640 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 Opus 4.61.78 s | Ling 2.6 Flash1.07 s | Ling 2.6 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Ling 2.6 Flash262K | Claude Opus 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Claude Opus 4.6 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | 86% | Ling 2.6 Flash leads |
| Claw-EvalSource | 70.4% | — | Not comparable |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
| GDPval-AASource | — | 2.2% | Not comparable |
| GDPval-AASource | — | 545 | Not comparable |
| AA Agentic IndexSource | — | 2.3% | Not comparable |
CodingClaude Opus 4.6 wins11 benchmarks
| Benchmark | Claude Opus 4.6 | Ling 2.6 Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | 27.1% | Claude Opus 4.6 leads |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
| SciCodeSource | — | 27% | Not comparable |
| AA Coding IndexSource | — | 25.3% | Not comparable |
Reasoning2 benchmarks
KnowledgeClaude Opus 4.6 wins15 benchmarks
| Benchmark | Claude Opus 4.6 | Ling 2.6 Flash | Result |
|---|---|---|---|
| GPQASource | 91.3% | 59% | Claude Opus 4.6 leads |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | — | Not comparable |
| HLE w/o toolsSource | 40% | — | Not comparable |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | 14.1% | Claude Opus 4.6 leads |
| AA-GPQA DiamondSource | 84.0% | 59.3% | Claude Opus 4.6 leads |
| AA-HLESource | 18.6% | 6.2% | Claude Opus 4.6 leads |
| AA-Omniscience IndexSource | 3.5% | -65.7% | Claude Opus 4.6 leads |
| AA-Omniscience AccuracySource | 45.2% | 15.4% | Claude Opus 4.6 leads |
| AA-Omniscience Hallucination RateSource | 76.0% | 95.8% | Claude Opus 4.6 leads |
Math3 benchmarks
Multimodal6 benchmarks
Frequently Asked Questions (3)
Which is better, Claude Opus 4.6 or Ling 2.6 Flash?
Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 68.59 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 91.3% and 59%.
Which is better for knowledge tasks, Claude Opus 4.6 or Ling 2.6 Flash?
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 69.1 versus 59. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.6 or Ling 2.6 Flash?
Claude Opus 4.6 has the edge for coding in this comparison, averaging 68.1 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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