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Fugu Ultra vs Llama 3.3 70B Instruct

Detailed technical comparison between Fugu Ultra (Sakana AI) and Llama 3.3 70B Instruct (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Fugu Ultra: 0 WinsvsLlama 3.3 70B Instruct: 6 Wins
Context Leader

Fugu Ultra

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Sakana AIactive

Fugu Ultra

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

View Fugu Ultra Full Specs โ†’
Metaactive

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

View Llama 3.3 70B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationFugu UltraLlama 3.3 70B Instruct
ProviderSakana AIMeta
Context Window1,000,000 tokens๐Ÿ†131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-06-242024-12-06

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

Llama 3.3 70B Instruct

$0.13

Output Price per Million Tokens

Fugu Ultra

$30.00

Llama 3.3 70B Instruct

$0.40

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 38.5x cheaper per input token than Fugu Ultra.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
85.4%vs87.0%+1.6% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct ๐Ÿ†
HumanEvalPython coding & logic synthesis
84.6%vs86.2%+1.6% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
65.8%vs67.4%+1.6% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
47.2%vs48.8%+1.6% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
86.4%vs88.0%+1.6% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.9%vs9.1%+0.2% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct ๐Ÿ†

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

No developer gotchas reported.

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