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Model comparison

Gemini 1.5 Pro vs Ling 2.6 Flash

Data verified

Head-to-head evidence from 5 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

35.71/100
Margin
8.2pts
winning →
InclusionAI
43.87/100
0 category wins0 category wins

Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 1.5 Pro and Ling 2.6 Flash share 5 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Gemini 1.5 Pro; 13 to Ling 2.6 Flash.

Updated July 21, 2026
Shared results
5
Gemini 1.5 Pro only
1
Ling 2.6 Flash only
13
Comparable categories
0 / 8

Benchmark data for Gemini 1.5 Pro and Ling 2.6 Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 5 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.

Gemini 1.5 Pro has the larger context window at 2M, compared with 262K for Ling 2.6 Flash.

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 Gemini 1.5 Pro and Ling 2.6 Flash
CategoryGemini 1.5 ProΔLing 2.6 Flash
CodingGemini 1.5 ProNot measuredMarginNo overlapLing 2.6 Flash27.0
KnowledgeGemini 1.5 ProNot measuredMarginNo overlapLing 2.6 Flash59.0
Inst. FollowingGemini 1.5 ProNot measuredMarginNo overlapLing 2.6 Flash57.0

Operational comparison

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

MetricGemini 1.5 ProLing 2.6 FlashComparison
Input / output priceUSD per 1M tokensGemini 1.5 Pro$1.25 input / $5 outputLing 2.6 FlashNot availableA complete price comparison is not available.
Generation speedtokens per secondGemini 1.5 ProNot availableLing 2.6 Flash209.5 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 1.5 ProNot availableLing 2.6 Flash1.07 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 1.5 Pro2MLing 2.6 Flash262KGemini 1.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 1.5 ProLing 2.6 FlashResult
τ²-bench resultsSource 86%Not comparable
GDPval-AASource 2.2%Not comparable
GDPval-AASource 545Not comparable
AA Agentic IndexSource 2.3%Not comparable
Coding
BenchmarkGemini 1.5 ProLing 2.6 FlashResult
AA Coding IndexSource 23.6%25.3%Ling 2.6 Flash leads
AA-SciCodeSource 29.5%27.1%Gemini 1.5 Pro leads
SciCodeSource 27%Not comparable
Reasoning
BenchmarkGemini 1.5 ProLing 2.6 FlashResult
AA-LCRSource 25.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGemini 1.5 ProLing 2.6 FlashResult
Artificial Analysis Intelligence IndexSource 10.0%14.1%Ling 2.6 Flash leads
AA-GPQA DiamondSource 58.9%59.3%Ling 2.6 Flash leads
AA-HLESource 4.9%6.2%Ling 2.6 Flash leads
GPQASource 59%Not comparable
AA-Omniscience IndexSource -65.7%Not comparable
AA-Omniscience AccuracySource 15.4%Not comparable
AA-Omniscience Hallucination RateSource 95.8%Not comparable
Multimodal
BenchmarkGemini 1.5 ProLing 2.6 FlashResult
AA-MMMU-ProSource 55.0%Not comparable
Inst. Following
BenchmarkGemini 1.5 ProLing 2.6 FlashResult
IFBenchSource 57%Not comparable
AA-IFBenchSource 57.4%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 1.5 Pro 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 Gemini 1.5 Pro and Ling 2.6 Flash today?

Gemini 1.5 Pro: $1.25 input / $5.00 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.

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Last updated: July 21, 2026

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