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Model comparison

Ling 2.6 Flash vs Qwen3.5 397B (Reasoning)

Data verified

Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

InclusionAI
43.87/100
Margin
15.6pts
winning →
59.5/100
0 category wins0 category wins

Public leaderboard positions: Ling 2.6 Flash #154 (Estimated); Qwen3.5 397B (Reasoning) #56 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Ling 2.6 Flash and Qwen3.5 397B (Reasoning) share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Ling 2.6 Flash; 2 to Qwen3.5 397B (Reasoning).

Updated July 21, 2026
Shared results
15
Ling 2.6 Flash only
3
Qwen3.5 397B (Reasoning) only
2
Comparable categories
0 / 8

Benchmark data for Ling 2.6 Flash and Qwen3.5 397B (Reasoning) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 15 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 Qwen3.5 397B (Reasoning).

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 Ling 2.6 Flash and Qwen3.5 397B (Reasoning)
CategoryLing 2.6 FlashΔQwen3.5 397B (Reasoning)
CodingLing 2.6 Flash27.0MarginNo overlapQwen3.5 397B (Reasoning)Not measured
KnowledgeLing 2.6 Flash59.0MarginNo overlapQwen3.5 397B (Reasoning)Not measured
Inst. FollowingLing 2.6 Flash57.0MarginNo overlapQwen3.5 397B (Reasoning)Not measured

Operational comparison

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

MetricLing 2.6 FlashQwen3.5 397B (Reasoning)Comparison
Input / output priceUSD per 1M tokensLing 2.6 FlashNot availableQwen3.5 397B (Reasoning)$0.6 input / $3.6 outputA complete price comparison is not available.
Generation speedtokens per secondLing 2.6 Flash209.5 tok/sQwen3.5 397B (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLing 2.6 Flash1.07 sQwen3.5 397B (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensLing 2.6 Flash262KQwen3.5 397B (Reasoning)128KLing 2.6 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLing 2.6 FlashQwen3.5 397B (Reasoning)Result
τ²-bench resultsSource 86%95.6%Qwen3.5 397B (Reasoning) leads
GDPval-AASource 2.2%23.1%Qwen3.5 397B (Reasoning) leads
GDPval-AASource 545962Qwen3.5 397B (Reasoning) leads
AA Agentic IndexSource 2.3%19.9%Qwen3.5 397B (Reasoning) leads
APEX-Agents-AASource 15.3%Not comparable
Coding
BenchmarkLing 2.6 FlashQwen3.5 397B (Reasoning)Result
SciCodeSource 27%Not comparable
AA Coding IndexSource 25.3%48.2%Qwen3.5 397B (Reasoning) leads
AA-SciCodeSource 27.1%42.0%Qwen3.5 397B (Reasoning) leads
Reasoning
BenchmarkLing 2.6 FlashQwen3.5 397B (Reasoning)Result
AA-LCRSource 25.0%65.7%Qwen3.5 397B (Reasoning) leads
CritPtSource 0.0%1.7%Qwen3.5 397B (Reasoning) leads
Knowledge
BenchmarkLing 2.6 FlashQwen3.5 397B (Reasoning)Result
Artificial Analysis Intelligence IndexSource 14.1%33.7%Qwen3.5 397B (Reasoning) leads
GPQASource 59%Not comparable
AA-GPQA DiamondSource 59.3%89.3%Qwen3.5 397B (Reasoning) leads
AA-HLESource 6.2%27.3%Qwen3.5 397B (Reasoning) leads
AA-Omniscience IndexSource -65.7%-29.8%Qwen3.5 397B (Reasoning) leads
AA-Omniscience AccuracySource 15.4%31.4%Qwen3.5 397B (Reasoning) leads
AA-Omniscience Hallucination RateSource 95.8%89.1%Qwen3.5 397B (Reasoning) leads
Multimodal
BenchmarkLing 2.6 FlashQwen3.5 397B (Reasoning)Result
AA-MMMU-ProSource 77.3%Not comparable
Inst. Following
BenchmarkLing 2.6 FlashQwen3.5 397B (Reasoning)Result
IFBenchSource 57%Not comparable
AA-IFBenchSource 57.4%78.8%Qwen3.5 397B (Reasoning) leads
Frequently Asked Questions (3)

Can I compare Ling 2.6 Flash and Qwen3.5 397B (Reasoning) 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 Ling 2.6 Flash and Qwen3.5 397B (Reasoning) today?

Ling 2.6 Flash: Pricing unavailable Qwen3.5 397B (Reasoning): $0.60 input / $3.60 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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