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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.

⚡ Executive Summary & Verdict

Comparison Snapshot

Fugu Ultra: 1 WinvsLlama 3.3 70B Instruct: 5 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 →
Metaactive

Llama 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

View Llama 3.3 70B Instruct Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationFugu UltraLlama 3.3 70B Instruct
ProviderSakana AIMeta
Context Window1,000,000 tokens🏆131,072 tokens
Agent SuitabilityNot yet benchmarked83/100 (est.)
Time to First Token (TTFT)No public TTFT data280 ms (est.)
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

💡 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.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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%vs86.2%+0.8% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct 🏆
HumanEvalPython coding & logic synthesis
84.6%vs88.0%+3.4% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct 🏆
MATHComplex mathematical problem solving
65.8%vs75.0%+9.2% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct 🏆
GPQAGraduate-level expert reasoning
47.2%vs52.0%+4.8% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct 🏆
HellaSwagCommonsense reasoning and inference
86.4%vs88.5%+2.1% Llama 3.3 70B Instruct
Fugu Ultra
Llama 3.3 70B Instruct 🏆
MT-BenchMulti-turn conversation flow quality
8.9%vs8.8%+0.1% Fugu Ultra
Fugu Ultra 🏆
Llama 3.3 70B Instruct

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

  • ▸Stable, well-documented self-hosted option with strong community support
  • ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows

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