Model comparison
DeepSeek V3.2 vs Ling 2.6 Flash
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V3.2 #82 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.2 and Ling 2.6 Flash share 11 comparable benchmark results. 1 of 8 categories are comparable. 8 results are unique to DeepSeek V3.2; 7 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 11
- DeepSeek V3.2 only
- 8
- Ling 2.6 Flash only
- 7
- Comparable categories
- 1 / 8
Pick DeepSeek V3.2 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 11 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
DeepSeek V3.2 is clearly ahead on the BenchAlign aggregate, 55.4 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2's sharpest advantage is in coding, where it averages 60.9 against 27.
Ling 2.6 Flash gives you the larger context window at 262K, compared with 128K for DeepSeek V3.2.
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 V3.2 | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | DeepSeek V3.260.9 | Margin← 33.9 | Ling 2.6 Flash27.0 |
| Knowledge | DeepSeek V3.2Not measured | MarginNo overlap | Ling 2.6 Flash59.0 |
| Math | DeepSeek V3.217.1 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | DeepSeek V3.2Not 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 | DeepSeek V3.2 | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.2$0.28 input / $0.42 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V3.235 tok/s | Ling 2.6 Flash209.5 tok/s | Ling 2.6 Flash has the higher measured throughput. |
| First-answer latencyseconds to first token | DeepSeek V3.23.75 s | Ling 2.6 Flash1.07 s | Ling 2.6 Flash reaches the first token sooner. |
| Context windowmaximum listed tokens | DeepSeek V3.2128K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | DeepSeek V3.2 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Claw-EvalSource | 40.2% | — | Not comparable |
| VITA-BenchSource | 18.5% | — | Not comparable |
| τ²-bench resultsSource | 78.9% | 86% | Ling 2.6 Flash leads |
| Gert LabsSource | 29.57% | — | Not comparable |
| GDPval-AASource | — | 2.2% | Not comparable |
| GDPval-AASource | — | 545 | Not comparable |
| AA Agentic IndexSource | — | 2.3% | Not comparable |
CodingDeepSeek V3.2 wins5 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | DeepSeek V3.2 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 14.1% | DeepSeek V3.2 leads |
| AA-GPQA DiamondSource | 75.1% | 59.3% | DeepSeek V3.2 leads |
| AA-HLESource | 10.5% | 6.2% | DeepSeek V3.2 leads |
| AA-Omniscience IndexSource | -46.7% | -65.7% | DeepSeek V3.2 leads |
| AA-Omniscience AccuracySource | 24.2% | 15.4% | DeepSeek V3.2 leads |
| AA-Omniscience Hallucination RateSource | 93.5% | 95.8% | DeepSeek V3.2 leads |
| GPQASource | — | 59% | Not comparable |
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek V3.2 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1204 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V3.2 or Ling 2.6 Flash?
DeepSeek V3.2 is ahead on BenchLM's BenchAlign leaderboard, 55.4 to 43.87.
Which is better for coding, DeepSeek V3.2 or Ling 2.6 Flash?
DeepSeek V3.2 has the edge for coding in this comparison, averaging 60.9 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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