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Model comparison

Ling 2.6 Flash vs Qwen2.5 Coder 32B Instruct

Data verified

Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

InclusionAI
43.87/100
Margin
9.2pts
← winning
0 category wins0 category wins

Public leaderboard positions: Ling 2.6 Flash #154 (Estimated); Qwen2.5 Coder 32B Instruct #186 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Ling 2.6 Flash and Qwen2.5 Coder 32B Instruct share 4 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Ling 2.6 Flash; 0 to Qwen2.5 Coder 32B Instruct.

Updated July 21, 2026
Shared results
4
Ling 2.6 Flash only
14
Qwen2.5 Coder 32B Instruct only
0
Comparable categories
0 / 8

Benchmark data for Ling 2.6 Flash and Qwen2.5 Coder 32B Instruct is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 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 Qwen2.5 Coder 32B Instruct.

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 Qwen2.5 Coder 32B Instruct
CategoryLing 2.6 FlashΔQwen2.5 Coder 32B Instruct
CodingLing 2.6 Flash27.0MarginNo overlapQwen2.5 Coder 32B InstructNot measured
KnowledgeLing 2.6 Flash59.0MarginNo overlapQwen2.5 Coder 32B InstructNot measured
Inst. FollowingLing 2.6 Flash57.0MarginNo overlapQwen2.5 Coder 32B InstructNot measured

Operational comparison

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

MetricLing 2.6 FlashQwen2.5 Coder 32B InstructComparison
Input / output priceUSD per 1M tokensLing 2.6 FlashNot availableQwen2.5 Coder 32B Instruct$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondLing 2.6 Flash209.5 tok/sQwen2.5 Coder 32B InstructNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLing 2.6 Flash1.07 sQwen2.5 Coder 32B InstructNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLing 2.6 Flash262KQwen2.5 Coder 32B Instruct128KLing 2.6 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLing 2.6 FlashQwen2.5 Coder 32B InstructResult
τ²-bench resultsSource 86%Not comparable
GDPval-AASource 2.2%Not comparable
GDPval-AASource 545Not comparable
AA Agentic IndexSource 2.3%Not comparable
Coding
BenchmarkLing 2.6 FlashQwen2.5 Coder 32B InstructResult
SciCodeSource 27%Not comparable
AA Coding IndexSource 25.3%Not comparable
AA-SciCodeSource 27.1%27.1%Tie
Reasoning
BenchmarkLing 2.6 FlashQwen2.5 Coder 32B InstructResult
AA-LCRSource 25.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLing 2.6 FlashQwen2.5 Coder 32B InstructResult
Artificial Analysis Intelligence IndexSource 14.1%7.1%Ling 2.6 Flash leads
GPQASource 59%Not comparable
AA-GPQA DiamondSource 59.3%41.7%Ling 2.6 Flash leads
AA-HLESource 6.2%3.8%Ling 2.6 Flash leads
AA-Omniscience IndexSource -65.7%Not comparable
AA-Omniscience AccuracySource 15.4%Not comparable
AA-Omniscience Hallucination RateSource 95.8%Not comparable
Inst. Following
BenchmarkLing 2.6 FlashQwen2.5 Coder 32B InstructResult
IFBenchSource 57%Not comparable
AA-IFBenchSource 57.4%Not comparable
Frequently Asked Questions (3)

Can I compare Ling 2.6 Flash and Qwen2.5 Coder 32B Instruct 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 Qwen2.5 Coder 32B Instruct today?

Ling 2.6 Flash: Pricing unavailable Qwen2.5 Coder 32B Instruct: $0.00 input / $0.00 output per 1M tokens 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

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