Skip to main content

Model comparison

DeepSeek V3.1 vs Ling 2.6 Flash

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.64/100
Margin
9.8pts
← winning
InclusionAI
43.87/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.1 #95 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 and Ling 2.6 Flash share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.1; 7 to Ling 2.6 Flash.

Updated July 21, 2026
Shared results
11
DeepSeek V3.1 only
1
Ling 2.6 Flash only
7
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 and Ling 2.6 Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Ling 2.6 Flash has the larger context window at 262K, compared with 128K for DeepSeek V3.1.

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 scores and score margins for DeepSeek V3.1 and Ling 2.6 Flash
CategoryDeepSeek V3.1ΔLing 2.6 Flash
CodingDeepSeek V3.1Not measuredMarginNo overlapLing 2.6 Flash27.0
KnowledgeDeepSeek V3.1Not measuredMarginNo overlapLing 2.6 Flash59.0
Inst. FollowingDeepSeek V3.1Not measuredMarginNo overlapLing 2.6 Flash57.0

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V3.1Ling 2.6 FlashComparison
Input / output priceUSD per 1M tokensDeepSeek V3.1$0 input / $0 outputLing 2.6 FlashNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V3.1Not availableLing 2.6 Flash209.5 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1Not availableLing 2.6 Flash1.07 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1128KLing 2.6 Flash262KLing 2.6 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1Ling 2.6 FlashResult
τ²-bench resultsSource 34.8%86%Ling 2.6 Flash leads
GDPval-AASource 2.2%Not comparable
GDPval-AASource 545Not comparable
AA Agentic IndexSource 2.3%Not comparable
Coding
BenchmarkDeepSeek V3.1Ling 2.6 FlashResult
AA-SciCodeSource 36.7%27.1%DeepSeek V3.1 leads
SciCodeSource 27%Not comparable
AA Coding IndexSource 25.3%Not comparable
Reasoning
BenchmarkDeepSeek V3.1Ling 2.6 FlashResult
AA-LCRSource 45.0%25.0%DeepSeek V3.1 leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkDeepSeek V3.1Ling 2.6 FlashResult
Artificial Analysis Intelligence IndexSource 21.1%14.1%DeepSeek V3.1 leads
AA-GPQA DiamondSource 73.5%59.3%DeepSeek V3.1 leads
AA-HLESource 6.3%6.2%DeepSeek V3.1 leads
AA-Omniscience IndexSource -41.1%-65.7%DeepSeek V3.1 leads
AA-Omniscience AccuracySource 23.1%15.4%DeepSeek V3.1 leads
AA-Omniscience Hallucination RateSource 83.5%95.8%DeepSeek V3.1 leads
GPQASource 59%Not comparable
Multimodal
BenchmarkDeepSeek V3.1Ling 2.6 FlashResult
Design Arena WebsiteSource 1152Not comparable
Inst. Following
BenchmarkDeepSeek V3.1Ling 2.6 FlashResult
AA-IFBenchSource 37.8%57.4%Ling 2.6 Flash leads
IFBenchSource 57%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 and Ling 2.6 Flash on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek V3.1 and Ling 2.6 Flash today?

DeepSeek V3.1: $0.00 input / $0.00 output per 1M tokens Ling 2.6 Flash: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 21, 2026

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.