Model comparison
DeepSeek V4 Pro (High) vs Ling 2.6 Flash
Head-to-head evidence from 16 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Pro (High) #81 (Estimated); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Pro (High) and Ling 2.6 Flash share 16 comparable benchmark results. 2 of 8 categories are comparable. 22 results are unique to DeepSeek V4 Pro (High); 2 to Ling 2.6 Flash.
Updated July 23, 2026- Shared results
- 16
- DeepSeek V4 Pro (High) only
- 22
- Ling 2.6 Flash only
- 2
- Comparable categories
- 2 / 8
Pick DeepSeek V4 Pro (High) if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 16 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
DeepSeek V4 Pro (High) is clearly ahead on the BenchAlign aggregate, 55.47 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro (High)'s sharpest advantage is in coding, where it averages 69.8 against 27. The single biggest benchmark swing on the page is GPQA, 89.1% to 59%. Ling 2.6 Flash does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Pro (High) 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. DeepSeek V4 Pro (High) 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 | DeepSeek V4 Pro (High) | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | DeepSeek V4 Pro (High)69.8 | Margin← 42.8 | Ling 2.6 Flash27.0 |
| Knowledge | DeepSeek V4 Pro (High)57.0 | Margin→ 2.0 | Ling 2.6 Flash59.0 |
| Agentic | DeepSeek V4 Pro (High)70.6 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Math | DeepSeek V4 Pro (High)94.0 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | DeepSeek V4 Pro (High)Not 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 89.1%B 59%Winner: DeepSeek V4 Pro (High)Δ 30.1GPQA: DeepSeek V4 Pro (High) scored 89.1%; Ling 2.6 Flash scored 59%. DeepSeek V4 Pro (High) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Pro (High) | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Pro (High)$0.435 input / $0.87 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Pro (High)Not available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Pro (High)Not available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Pro (High)1M | Ling 2.6 Flash262K | DeepSeek V4 Pro (High) lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| BrowseCompSource | 80.4% | — | Not comparable |
| HLE w/ toolsSource | 44.7% | — | Not comparable |
| MCP AtlasSource | 74.2% | — | Not comparable |
| ToolathlonSource | 49% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | 86% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 39.9% | 2.2% | DeepSeek V4 Pro (High) leads |
| GDPval-AASource | 1299 | 545 | DeepSeek V4 Pro (High) leads |
| AA Agentic IndexSource | 34.4% | 2.3% | DeepSeek V4 Pro (High) leads |
CodingDeepSeek V4 Pro (High) wins8 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Ling 2.6 Flash | Result |
|---|---|---|---|
| CodeforcesSource | 2919.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79.4% | — | Not comparable |
| SWE-bench ProSource | 54.4% | — | Not comparable |
| SWE MultilingualSource | 74.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 63.3% | — | Not comparable |
| AA-SciCodeSource | 46.4% | 27.1% | DeepSeek V4 Pro (High) leads |
| AA Coding IndexSource | 58.7% | 25.3% | DeepSeek V4 Pro (High) leads |
| SciCodeSource | — | 27% | Not comparable |
Reasoning4 benchmarks
KnowledgeLing 2.6 Flash wins12 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Ling 2.6 Flash | Result |
|---|---|---|---|
| MMLU-ProSource | 87.1% | — | Not comparable |
| SimpleQASource | 46.2% | — | Not comparable |
| Chinese-SimpleQASource | 77.7% | — | Not comparable |
| GPQASource | 89.1% | 59% | DeepSeek V4 Pro (High) leads |
| GPQA-DSource | 89.1% | — | Not comparable |
| HLESource | 34.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 43.1% | 14.1% | DeepSeek V4 Pro (High) leads |
| AA-GPQA DiamondSource | 90.5% | 59.3% | DeepSeek V4 Pro (High) leads |
| AA-HLESource | 33.5% | 6.2% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience IndexSource | -9.7% | -65.7% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience AccuracySource | 41.8% | 15.4% | DeepSeek V4 Pro (High) leads |
| AA-Omniscience Hallucination RateSource | 88.6% | 95.8% | DeepSeek V4 Pro (High) leads |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Pro (High) | Ling 2.6 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1264 | — | Not comparable |
Frequently Asked Questions (3)
Which is better, DeepSeek V4 Pro (High) or Ling 2.6 Flash?
DeepSeek V4 Pro (High) is ahead on BenchLM's BenchAlign leaderboard, 55.47 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 89.1% and 59%.
Which is better for knowledge tasks, DeepSeek V4 Pro (High) or Ling 2.6 Flash?
Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 57. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Pro (High) or Ling 2.6 Flash?
DeepSeek V4 Pro (High) has the edge for coding in this comparison, averaging 69.8 versus 27. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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