Model comparison
Gemini 3.5 Flash-Lite vs Ling 2.6 Flash
Head-to-head evidence from 13 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.5 Flash-Lite unranked (Not scored); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.5 Flash-Lite and Ling 2.6 Flash share 13 comparable benchmark results. 1 of 8 categories are comparable. 8 results are unique to Gemini 3.5 Flash-Lite; 5 to Ling 2.6 Flash.
Updated July 21, 2026- Shared results
- 13
- Gemini 3.5 Flash-Lite only
- 8
- Ling 2.6 Flash only
- 5
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 3.5 Flash-Lite makes more sense if coding is the priority or you need the larger 1M context window; Ling 2.6 Flash is the better fit if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 4 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 3.5 Flash-Lite and Ling 2.6 Flash finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Gemini 3.5 Flash-Lite is the reasoning model in the pair, while Ling 2.6 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3.5 Flash-Lite gives you the larger context window at 1M, 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 | Gemini 3.5 Flash-Lite | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Gemini 3.5 Flash-Lite54.2 | Margin← 27.2 | Ling 2.6 Flash27.0 |
| Agentic | Gemini 3.5 Flash-Lite63.4 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Reasoning | Gemini 3.5 Flash-Lite72.2 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Knowledge | Gemini 3.5 Flash-LiteNot measured | MarginNo overlap | Ling 2.6 Flash59.0 |
| Inst. Following | Gemini 3.5 Flash-LiteNot measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.5 Flash-Lite | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.5 Flash-Lite$0.3 input / $2.5 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.5 Flash-LiteNot available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.5 Flash-LiteNot available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.5 Flash-Lite1M | Ling 2.6 Flash262K | Gemini 3.5 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Gemini 3.5 Flash-Lite | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 54% | — | Not comparable |
| OSWorld-VerifiedSource | 74% | — | Not comparable |
| GDPval-AASource | 1140 | 545 | Gemini 3.5 Flash-Lite leads |
| AA Agentic IndexSource | 26.8% | 2.3% | Gemini 3.5 Flash-Lite leads |
| GDPval-AASource | 32.0% | 2.2% | Gemini 3.5 Flash-Lite leads |
| AA BriefcaseSource | 634 | — | Not comparable |
| AA Tau3 BankingSource | 16.5% | — | Not comparable |
| τ²-bench resultsSource | — | 86% | Not comparable |
CodingGemini 3.5 Flash-Lite wins5 benchmarks
Reasoning3 benchmarks
Knowledge7 benchmarks
| Benchmark | Gemini 3.5 Flash-Lite | Ling 2.6 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 36.5% | 14.1% | Gemini 3.5 Flash-Lite leads |
| AA-GPQA DiamondSource | 83.8% | 59.3% | Gemini 3.5 Flash-Lite leads |
| AA-HLESource | 17.5% | 6.2% | Gemini 3.5 Flash-Lite leads |
| AA-Omniscience IndexSource | 6.9% | -65.7% | Gemini 3.5 Flash-Lite leads |
| AA-Omniscience AccuracySource | 30.3% | 15.4% | Gemini 3.5 Flash-Lite leads |
| AA-Omniscience Hallucination RateSource | 33.5% | 95.8% | Gemini 3.5 Flash-Lite leads |
| GPQASource | — | 59% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Gemini 3.5 Flash-Lite | Ling 2.6 Flash | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 79.0% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3.5 Flash-Lite or Ling 2.6 Flash?
Gemini 3.5 Flash-Lite and Ling 2.6 Flash are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Gemini 3.5 Flash-Lite or Ling 2.6 Flash?
Gemini 3.5 Flash-Lite has the edge for coding in this comparison, averaging 54.2 versus 27. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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