Model comparison
DeepSeek V4 Flash (Max) 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 Flash (Max) unranked (Not scored); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash (Max) and Ling 2.6 Flash share 16 comparable benchmark results. 2 of 8 categories are comparable. 29 results are unique to DeepSeek V4 Flash (Max); 2 to Ling 2.6 Flash.
Updated July 23, 2026- Shared results
- 16
- DeepSeek V4 Flash (Max) only
- 29
- Ling 2.6 Flash only
- 2
- Comparable categories
- 2 / 8
Treat this as a split decision. DeepSeek V4 Flash (Max) makes more sense if coding is the priority or you need the larger 1M context window; Ling 2.6 Flash is the better fit 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 Flash (Max) and Ling 2.6 Flash finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
DeepSeek V4 Flash (Max) 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 Flash (Max) 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 Flash (Max) | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | DeepSeek V4 Flash (Max)68.8 | Margin← 41.8 | Ling 2.6 Flash27.0 |
| Knowledge | DeepSeek V4 Flash (Max)55.3 | Margin→ 3.7 | Ling 2.6 Flash59.0 |
| Agentic | DeepSeek V4 Flash (Max)63.8 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Math | DeepSeek V4 Flash (Max)94.8 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | DeepSeek V4 Flash (Max)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 88.1%B 59%Winner: DeepSeek V4 Flash (Max)Δ 29.1GPQA: DeepSeek V4 Flash (Max) scored 88.1%; Ling 2.6 Flash scored 59%. DeepSeek V4 Flash (Max) wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash (Max) | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash (Max)$0.14 input / $0.28 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V4 Flash (Max)Not available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 Flash (Max)Not available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash (Max)1M | Ling 2.6 Flash262K | DeepSeek V4 Flash (Max) lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.9% | — | Not comparable |
| BrowseCompSource | 73.2% | — | Not comparable |
| HLE w/ toolsSource | 45.1% | — | Not comparable |
| MCP AtlasSource | 69% | — | Not comparable |
| GDPval-AASource | 1189 | 545 | DeepSeek V4 Flash (Max) leads |
| ToolathlonSource | 47.8% | — | Not comparable |
| AA Agentic IndexSource | 31.1% | 2.3% | DeepSeek V4 Flash (Max) leads |
| τ²-bench resultsSource | 95% | 86% | DeepSeek V4 Flash (Max) leads |
| GDPval-AASource | 34.4% | 2.2% | DeepSeek V4 Flash (Max) leads |
| AA BriefcaseSource | 831 | — | Not comparable |
| AA EnterpriseOps-GymSource | 39.6% | — | Not comparable |
| AA Harvey LABSource | 81.3% | — | Not comparable |
| AA ITBenchSource | 31.5% | — | Not comparable |
| AA Tau3 BankingSource | 22.9% | — | Not comparable |
| terminalBenchHardSource | 35.6% | — | Not comparable |
CodingDeepSeek V4 Flash (Max) wins8 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Ling 2.6 Flash | Result |
|---|---|---|---|
| CodeforcesSource | 3052.0 | — | Not comparable |
| SWE-bench VerifiedSource | 79% | — | Not comparable |
| SWE-bench ProSource | 52.6% | — | Not comparable |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| Terminal-Bench 2.0Source | 56.9% | — | Not comparable |
| AA Coding IndexSource | 56.2% | 25.3% | DeepSeek V4 Flash (Max) leads |
| AA-SciCodeSource | 44.9% | 27.1% | DeepSeek V4 Flash (Max) leads |
| SciCodeSource | — | 27% | Not comparable |
Reasoning4 benchmarks
KnowledgeLing 2.6 Flash wins13 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Ling 2.6 Flash | Result |
|---|---|---|---|
| MMLU-ProSource | 86.2% | — | Not comparable |
| SimpleQASource | 34.1% | — | Not comparable |
| Chinese-SimpleQASource | 78.9% | — | Not comparable |
| GPQASource | 88.1% | 59% | DeepSeek V4 Flash (Max) leads |
| GPQA-DSource | 88.1% | — | Not comparable |
| HLESource | 34.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.3% | 14.1% | DeepSeek V4 Flash (Max) leads |
| AA-GPQA DiamondSource | 89.4% | 59.3% | DeepSeek V4 Flash (Max) leads |
| AA-HLESource | 32.1% | 6.2% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience IndexSource | -22.9% | -65.7% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience AccuracySource | 37.2% | 15.4% | DeepSeek V4 Flash (Max) leads |
| AA-Omniscience Hallucination RateSource | 95.8% | 95.8% | Tie |
| AA Openness IndexSource | 50.0% | — | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V4 Flash (Max) | Ling 2.6 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1238 | — | Not comparable |
Frequently Asked Questions (3)
Which is better, DeepSeek V4 Flash (Max) or Ling 2.6 Flash?
DeepSeek V4 Flash (Max) and Ling 2.6 Flash are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, DeepSeek V4 Flash (Max) or Ling 2.6 Flash?
Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 55.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V4 Flash (Max) or Ling 2.6 Flash?
DeepSeek V4 Flash (Max) has the edge for coding in this comparison, averaging 68.8 versus 27. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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