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Model comparison

Phi-4 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.
Microsoft
22.32/100
No comparison
0 category wins0 category wins

Public leaderboard positions: Phi-4 #202 (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. Phi-4 and Sakana Fugu-Ultra v1.1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to Phi-4; 0 to Sakana Fugu-Ultra v1.1.

Updated July 24, 2026
Shared results
0
Phi-4 only
11
Sakana Fugu-Ultra v1.1 only
0
Comparable categories
0 / 8

Benchmark data for Phi-4 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 is priced at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Phi-4. Sakana Fugu-Ultra v1.1 has the larger context window at 1M, compared with 16K for Phi-4.

Operational comparison

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

MetricPhi-4Sakana Fugu-Ultra v1.1Comparison
Input / output priceUSD per 1M tokensPhi-4$0 input / $0 outputSakana Fugu-Ultra v1.1$5 input / $30 outputPhi-4 has the lower combined listed price.
Generation speedtokens per secondPhi-435 tok/sSakana Fugu-Ultra v1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenPhi-42.02 sSakana Fugu-Ultra v1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensPhi-416KSakana Fugu-Ultra v1.11MSakana Fugu-Ultra v1.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkPhi-4Sakana Fugu-Ultra v1.1Result
τ²-bench resultsSource 0%Not comparable
Coding
BenchmarkPhi-4Sakana Fugu-Ultra v1.1Result
AA-SciCodeSource 26.0%Not comparable
Reasoning
BenchmarkPhi-4Sakana Fugu-Ultra v1.1Result
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkPhi-4Sakana Fugu-Ultra v1.1Result
Artificial Analysis Intelligence IndexSource 4.9%Not comparable
AA-GPQA DiamondSource 57.5%Not comparable
AA-HLESource 4.1%Not comparable
AA-Omniscience IndexSource -56.7%Not comparable
AA-Omniscience AccuracySource 13.2%Not comparable
AA-Omniscience Hallucination RateSource 80.5%Not comparable
Inst. Following
BenchmarkPhi-4Sakana Fugu-Ultra v1.1Result
AA-IFBenchSource 23.5%Not comparable
Frequently Asked Questions (3)

Can I compare Phi-4 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 Phi-4 and Sakana Fugu-Ultra v1.1 today?

Phi-4: $0.00 input / $0.00 output per 1M tokens 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