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Model comparison

Ling 3.0 Flash vs Sakana Fugu

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
InclusionAI
N/A
No comparison
Sakana AI
N/A
0 category wins0 category wins

Evidence parity. Ling 3.0 Flash and Sakana Fugu share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Ling 3.0 Flash; 11 to Sakana Fugu.

Updated July 24, 2026
Shared results
0
Ling 3.0 Flash only
0
Sakana Fugu only
11
Comparable categories
0 / 8

Benchmark data for Ling 3.0 Flash and Sakana Fugu is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for Ling 3.0 Flash yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Sakana Fugu has the larger context window at 1M, compared with 262K for Ling 3.0 Flash.

Operational comparison

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

MetricLing 3.0 FlashSakana FuguComparison
Input / output priceUSD per 1M tokensLing 3.0 FlashNot availableSakana FuguNot availableA complete price comparison is not available.
Generation speedtokens per secondLing 3.0 FlashNot availableSakana FuguNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLing 3.0 FlashNot availableSakana FuguNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLing 3.0 Flash262KSakana Fugu1MSakana Fugu lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLing 3.0 FlashSakana FuguResult
Terminal-Bench 2.0Source 80.2%Not comparable
Coding
BenchmarkLing 3.0 FlashSakana FuguResult
SWE-bench ProSource 59%Not comparable
Terminal-Bench 2.0Source 80.2%Not comparable
LiveCodeBench v6Source 92.9%Not comparable
LiveCodeBench ProSource 87.8%Not comparable
SciCodeSource 60.1%Not comparable
Reasoning
BenchmarkLing 3.0 FlashSakana FuguResult
MRCRv2Source 86.6%Not comparable
Knowledge
BenchmarkLing 3.0 FlashSakana FuguResult
GPQASource 95.5%Not comparable
GPQA-DSource 95.5%Not comparable
HLE w/o toolsSource 47.2%Not comparable
Multimodal
BenchmarkLing 3.0 FlashSakana FuguResult
CharXivSource 85.1%Not comparable
Frequently Asked Questions (3)

Can I compare Ling 3.0 Flash and Sakana Fugu 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 3.0 Flash and Sakana Fugu today?

Ling 3.0 Flash: Pricing unavailable Sakana Fugu: 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 24, 2026