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GPT-3.5 Turbo Instruct vs Fugu Max

vs
Fugu Max

sakana

40#246
Signal-by-Signal Comparison
SignalGPT-3.5 Turbo InstructDeltaFugu Max
Capabilities
33
-67
100
Pricing
98
+4
94
Context window size
57
-38
95
Recency
0
-100
100
Output Capacity
57
-25
82
Overall Result
1 wins
of 5
4 wins
Fugu Max wins 4 of 5 signals

Score History

Score History (32 data points)
GPT-3.5 Turbo InstructFugu Max
GPT-3.5 Turbo Instruct

40

current score

Leader

Tied

right now

Fugu Max

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

GPT-3.5 Turbo Instruct

OpenAI

Best Value
Per request$0.002500
Daily$8.33
Monthly$250.00
Annual$3000.00

Fugu Max

sakana

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

GPT-3.5 Turbo Instruct saves you $250.00/month

That's $3000.00/year compared to Fugu Max at your current usage level of 100K calls/month.

50% cheaper
Choose GPT-3.5 Turbo Instruct for cost optimization

GPT-3.5 Turbo Instruct pricing:
Input:$1.50/M tokens
Output:$2.00/M tokens
Fugu Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Tie
GPT-3.5 Turbo Instruct

OpenAI

40

Composite Score

Tie
Fugu Max

sakana

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-3.5 Turbo InstructFugu MaxWinner
Overall Score
40
40
--
Rank#403#246
Fugu Max
Quality Rank#403#246
Fugu Max
Adoption Rank#403#246
Fugu Max
Parameters------
Context Window4K1000K
Fugu Max
Pricing$1.50/$2.00/M$2.00/$6.00/M--
Signal Scores
Capabilities
33
100
Fugu Max
Pricing
98
94
GPT-3.5 Turbo Instruct
Context window size
57
95
Fugu Max
Recency
0
100
Fugu Max
Output Capacity
57
82
Fugu Max
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

GPT-3.5 Turbo InstructEntry Level

Scores 40/100 (rank #403), placing it in the top -39% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Fugu MaxEntry Level

Scores 40/100 (rank #246), placing it in the top 16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose GPT-3.5 Turbo Instruct when you need:

  • High-volume production workloads where API costs must be minimized

Choose Fugu Max when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-3.5 Turbo InstructBest Value
Input cost$1.50/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.087
Est. monthly (1M tokens/day)$52.50
Fugu Max
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.200
Est. monthly (1M tokens/day)$120.00

GPT-3.5 Turbo Instruct offers 56% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-3.5 Turbo Instruct vs $120.00/month with Fugu Max - a $67.50 monthly difference.

Latency & Speed
GPT-3.5 Turbo InstructFaster
Speed score0/100
Fugu Max
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

GPT-3.5 Turbo Instruct

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-3.5 Turbo Instruct also offers lower per-token costs for high-volume support

GPT-3.5 Turbo Instruct

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Fugu Max

Batch data extraction

Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily

GPT-3.5 Turbo Instruct

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

GPT-3.5 Turbo Instruct

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Fugu Max
Which Should You Choose?
Our recommendation:
GPT-3.5 Turbo Instruct

GPT-3.5 Turbo Instruct and Fugu Max are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 56% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by sakana

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-3.5 Turbo InstructFugu Max
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-3.5 Turbo Instruct

OpenAI

Best Value
$5.10
estimated monthly cost

Fugu Max

sakana

$10.80
estimated monthly cost

GPT-3.5 Turbo Instruct saves you $5.70/month

That's 53% cheaper than Fugu Max at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGPT-3.5 Turbo InstructFugu Max
Context Window4K1M
Max Output Tokens3,685128,000
Open SourceNoNo
CreatedSep 28, 2023Sep 11, 2026
Last updated: 11m ago

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