Model comparison
DeepSeek V3 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 V3 #147 (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 and Ling 2.6 Flash share 16 comparable benchmark results. 3 of 8 categories are comparable. 6 results are unique to DeepSeek V3; 2 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 16
- DeepSeek V3 only
- 6
- Ling 2.6 Flash only
- 2
- Comparable categories
- 3 / 8
Pick DeepSeek V3 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 16 shared benchmark results across 5 evidence categories; 3 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 has the cleaner BenchAlign overall profile here, landing at 44.97 versus 43.87. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3's sharpest advantage is in instruction following, where it averages 86.1 against 57. The single biggest benchmark swing on the page is GPQA, 59.1% to 59%.
Ling 2.6 Flash gives you the larger context window at 262K, compared with 128K for DeepSeek V3.
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 | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Inst. Following | DeepSeek V386.1 | Margin← 29.1 | Ling 2.6 Flash57.0 |
| Knowledge | DeepSeek V372.7 | Margin← 13.7 | Ling 2.6 Flash59.0 |
| Coding | DeepSeek V338.9 | Margin← 11.9 | Ling 2.6 Flash27.0 |
| Math | DeepSeek V31.7 | MarginNo overlap | Ling 2.6 FlashNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 59.1%B 59%Winner: DeepSeek V3Δ 0.1GPQA: DeepSeek V3 scored 59.1%; Ling 2.6 Flash scored 59%. DeepSeek V3 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V3 | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3$0.27 input / $1.1 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | DeepSeek V3Not available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3Not available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3128K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
CodingDeepSeek V3 wins5 benchmarks
Reasoning2 benchmarks
KnowledgeDeepSeek V3 wins8 benchmarks
| Benchmark | DeepSeek V3 | Ling 2.6 Flash | Result |
|---|---|---|---|
| GPQASource | 59.1% | 59% | DeepSeek V3 leads |
| MMLU-ProSource | 75.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 14.2% | 14.1% | DeepSeek V3 leads |
| AA-GPQA DiamondSource | 55.7% | 59.3% | Ling 2.6 Flash leads |
| AA-HLESource | 3.6% | 6.2% | Ling 2.6 Flash leads |
| AA-Omniscience IndexSource | -41.3% | -65.7% | DeepSeek V3 leads |
| AA-Omniscience AccuracySource | 25.4% | 15.4% | DeepSeek V3 leads |
| AA-Omniscience Hallucination RateSource | 89.4% | 95.8% | DeepSeek V3 leads |
Math1 benchmarks
| Benchmark | DeepSeek V3 | Ling 2.6 Flash | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.724% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | DeepSeek V3 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1150 | — | Not comparable |
Frequently Asked Questions (4)
Which is better, DeepSeek V3 or Ling 2.6 Flash?
DeepSeek V3 is ahead on BenchLM's BenchAlign leaderboard, 44.97 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 59.1% and 59%.
Which is better for knowledge tasks, DeepSeek V3 or Ling 2.6 Flash?
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 72.7 versus 59. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, DeepSeek V3 or Ling 2.6 Flash?
DeepSeek V3 has the edge for coding in this comparison, averaging 38.9 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for instruction following, DeepSeek V3 or Ling 2.6 Flash?
DeepSeek V3 has the edge for instruction following in this comparison, averaging 86.1 versus 57. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.