Model profile
Ling 2.6 Flash
Evidence coverage
18 of 323 tracked benchmarks are published. 0 are verified and 18 provisional. 5 of 8 categories are measured.
- Published / tracked
- 18 / 323
- Verified
- 0
- Provisional
- 18
- Categories with evidence
- 5 / 8
Evidence by category
- Agentic4 benchmarksReported
- Coding3 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge7 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following2 benchmarksReported
Ling 2.6 Flash ranks #154 out of 200 models on the public leaderboard with an overall score of 43.87/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Ling 2.6 Flash is a open weight model with a 262K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 18 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#25), while its weakest is Coding (#93). This performance profile makes it a well-rounded choice across a range of tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 43.2–44.4
- Nemotron Ultra 253BNVIDIACompare#15044.4Nemotron Ultra 253B is #150 with a score of 44.4.
- Nemotron 3 Nano Omni 30B A3BNVIDIACompare#15144.24Nemotron 3 Nano Omni 30B A3B is #151 with a score of 44.24.
- GPT-4.1 miniOpenAICompare#15244.19GPT-4.1 mini is #152 with a score of 44.19.
- GPT-5 miniOpenAICompare#15343.93GPT-5 mini is #153 with a score of 43.93.
- Ling 2.6 FlashCurrent modelInclusionAI#15443.87Ling 2.6 Flash is #154 with a score of 43.87.
- Gemma 4 E4BGoogleCompare#15543.2Gemma 4 E4B is #155 with a score of 43.2.
- Mistral Medium 3MistralCompare#15643.2Mistral Medium 3 is #156 with a score of 43.2.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Inst. Following20%Eligible cohort rank #25 of 31Category score 48.2
- Agentic24%Eligible cohort rank #91 of 119Category score 41.0
- Coding24%Eligible cohort rank #93 of 122Category score 45.4
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #91 of 119Percentile 24thWeight 22%4 benchmarksReported | 41.0 | #91 of 119 | 24th | 22% | 4 benchmarks | Reported |
| CodingRank #93 of 122Percentile 24thWeight 20%3 benchmarksReported | 45.4 | #93 of 122 | 24th | 20% | 3 benchmarks | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%7 benchmarksReported | 47.8 | Not ranked | Not available | 12% | 7 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #25 of 31Percentile 20thWeight 5%2 benchmarksReported | 48.2 | #25 of 31 | 20th | 5% | 2 benchmarks | Reported |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic4 benchmarks
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Artificial Analysis Agentic Index
Coding3 benchmarks
Scientific Code Benchmark
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge7 benchmarks
Graduate-Level Google-Proof Q&A
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Inst. Following2 benchmarks
Instruction Following Benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Ling 2.6 Flash perform overall in AI benchmarks?
Ling 2.6 Flash has 18 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Ling 2.6 Flash good for knowledge and understanding?
Ling 2.6 Flash has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Ling 2.6 Flash good for coding and programming?
Ling 2.6 Flash ranks #93 out of 122 models in coding and programming benchmarks with an average score of 45.4. There are stronger options in this category.
Is Ling 2.6 Flash good for reasoning and logic?
Ling 2.6 Flash has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Ling 2.6 Flash good for agentic tool use and computer tasks?
Ling 2.6 Flash ranks #91 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 41. There are stronger options in this category.
Is Ling 2.6 Flash good for instruction following?
Ling 2.6 Flash ranks #25 out of 31 models in instruction following benchmarks with an average score of 48.2. There are stronger options in this category.
Is Ling 2.6 Flash open source?
Yes, Ling 2.6 Flash is an open weight model created by InclusionAI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does Ling 2.6 Flash have full benchmark coverage on BenchLM?
Not yet. Ling 2.6 Flash currently has 18 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Ling 2.6 Flash?
Ling 2.6 Flash has a published context window of 262K, which determines how much text it can process in a single interaction.
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