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Ling 2.6 Flash

InclusionAICurrentReleased Apr 21, 2026
Overall Score
Unranked
Arena Elo
N/A
Categories Ranked
1of 8
Price (1M tokens)
$ in / $ out
Speed
209.5tok/s
Context
262K
Open WeightSelf-hostNon-Reasoning
Confidence
flash

BenchLM is tracking Ling 2.6 Flash, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.

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 19 of 225 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 (#109). This performance profile makes it a well-rounded choice across a range of tasks.

Ranking Distribution

Category rank across 3 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

0.0/ 100
Weight: 22%4 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

27.0/ 100
Weight: 20%4 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

0.0/ 100
Weight: 17%2 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

44.8/ 100
Weight: 12%7 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

0.0/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

0.0/ 100
Weight: 12%0 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#109
14.6/ 100
Weight: 5%2 benchmarks
IFEvalIFBench

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Compare This Model

See how Ling 2.6 Flash stacks up against similar models

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Gemini 3.1 ProGoogle
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GPT-5.5OpenAI
Prov. 91
Qwen3.7 MaxAlibaba
Prov. 91

Frequently Asked Questions

How does Ling 2.6 Flash perform overall in AI benchmarks?

Ling 2.6 Flash has 19 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 has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

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 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is Ling 2.6 Flash good for instruction following?

Ling 2.6 Flash ranks #109 out of 119 models in instruction following benchmarks with an average score of 14.6. 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 19 published benchmark scores out of the 225 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 context window of 262K, which determines how much text it can process in a single interaction.

Related Resources

More from InclusionAI LLM Pricing Comparison BenchLM Methodology The AI Race Which LLM Should I Use? Benchmark Explainers
Last updated: June 2, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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