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Model comparison

MiMo-V2-Omni vs Sakana Fugu-Ultra v1.1

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.
62.55/100
No comparison
0 category wins0 category wins

Public leaderboard positions: MiMo-V2-Omni #43 (Supported); Sakana Fugu-Ultra v1.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. MiMo-V2-Omni and Sakana Fugu-Ultra v1.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to MiMo-V2-Omni; 0 to Sakana Fugu-Ultra v1.1.

Updated July 24, 2026
Shared results
0
MiMo-V2-Omni only
14
Sakana Fugu-Ultra v1.1 only
0
Comparable categories
0 / 8

Benchmark data for MiMo-V2-Omni and Sakana Fugu-Ultra v1.1 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 Sakana Fugu-Ultra v1.1 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Sakana Fugu-Ultra v1.1 has the larger context window at 1M, compared with 262K for MiMo-V2-Omni.

Operational comparison

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

MetricMiMo-V2-OmniSakana Fugu-Ultra v1.1Comparison
Input / output priceUSD per 1M tokensMiMo-V2-OmniNot availableSakana Fugu-Ultra v1.1$5 input / $30 outputA complete price comparison is not available.
Generation speedtokens per secondMiMo-V2-OmniNot availableSakana Fugu-Ultra v1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMiMo-V2-OmniNot availableSakana Fugu-Ultra v1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensMiMo-V2-Omni262KSakana Fugu-Ultra v1.11MSakana Fugu-Ultra v1.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMiMo-V2-OmniSakana Fugu-Ultra v1.1Result
Claw-EvalSource 45.2%Not comparable
τ²-bench resultsSource 91.2%Not comparable
Coding
BenchmarkMiMo-V2-OmniSakana Fugu-Ultra v1.1Result
SWE-bench VerifiedSource 74.8%Not comparable
AA-SciCodeSource 36.7%Not comparable
Reasoning
BenchmarkMiMo-V2-OmniSakana Fugu-Ultra v1.1Result
AA-LCRSource 66.7%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkMiMo-V2-OmniSakana Fugu-Ultra v1.1Result
Artificial Analysis Intelligence IndexSource 35.0%Not comparable
AA-GPQA DiamondSource 82.8%Not comparable
AA-HLESource 19.9%Not comparable
AA-Omniscience IndexSource -17.4%Not comparable
AA-Omniscience AccuracySource 18.7%Not comparable
AA-Omniscience Hallucination RateSource 44.4%Not comparable
Multimodal
BenchmarkMiMo-V2-OmniSakana Fugu-Ultra v1.1Result
AA-MMMU-ProSource 69.9%Not comparable
Inst. Following
BenchmarkMiMo-V2-OmniSakana Fugu-Ultra v1.1Result
AA-IFBenchSource 53.5%Not comparable
Frequently Asked Questions (3)

Can I compare MiMo-V2-Omni and Sakana Fugu-Ultra v1.1 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 MiMo-V2-Omni and Sakana Fugu-Ultra v1.1 today?

Sakana Fugu-Ultra v1.1: $5.00 input / $30.00 output per 1M tokens 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