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Fugu Ultra vs Qwen2.5 Coder 32B Instruct

Detailed technical comparison between Fugu Ultra (Sakana AI) and Qwen2.5 Coder 32B Instruct (Alibaba). 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: 4 WinsvsQwen2.5 Coder 32B Instruct: 2 Wins
Context Leader

Fugu Ultra

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Qwen2.5 Coder 32B Instruct

$0.66 / 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†’
Alibabaactive

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

View Qwen2.5 Coder 32B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationFugu UltraQwen2.5 Coder 32B Instruct
ProviderSakana AIAlibaba
Context Window1,000,000 tokens๐Ÿ†32,768 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 Date2026-06-242024-11-11

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

Fugu Ultra

$30.00

Qwen2.5 Coder 32B Instruct

$1.00

๐Ÿ’ก Cost Ratio: Qwen2.5 Coder 32B Instruct is 7.6x 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%vs81.2%+4.2% Fugu Ultra
Fugu Ultra ๐Ÿ†
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
84.6%vs91.5%+6.9% Qwen2.5 Coder 32B Instruct
Fugu Ultra
Qwen2.5 Coder 32B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
65.8%vs68.0%+2.2% Qwen2.5 Coder 32B Instruct
Fugu Ultra
Qwen2.5 Coder 32B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
47.2%vs40.5%+6.7% Fugu Ultra
Fugu Ultra ๐Ÿ†
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
86.4%vs84.0%+2.4% Fugu Ultra
Fugu Ultra ๐Ÿ†
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
8.9%vs8.8%+0.1% Fugu Ultra
Fugu Ultra ๐Ÿ†
Qwen2.5 Coder 32B Instruct

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.

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