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GPT-4.1 Nano vs Fugu Max

GPT-4.1 Nano

OpenAI

42#232
vs
Fugu Max

sakana

40#248
Signal-by-Signal Comparison
SignalGPT-4.1 NanoDeltaFugu Max
Capabilities
83
-17
100
Benchmarks
44
+44
0
Pricing
100
+6
94
Context window size
96
+0
95
Recency
37
-63
100
Output Capacity
72
-9
82
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (32 data points)
GPT-4.1 NanoFugu Max
GPT-4.1 Nano

42.1

current score

Leader

GPT-4.1 Nano

right now

Fugu Max

40

current score

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

GPT-4.1 Nano

OpenAI

Best Value
Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

Fugu Max

sakana

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

GPT-4.1 Nano saves you $470.00/month

That's $5640.00/year compared to Fugu Max at your current usage level of 100K calls/month.

94% cheaper
Choose GPT-4.1 Nano for cost optimization

GPT-4.1 Nano pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
Fugu Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Winner
GPT-4.1 Nano

OpenAI

42

Composite Score

Fugu Max

sakana

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1 NanoFugu MaxWinner
Overall Score
42
40
GPT-4.1 Nano
Rank#232#248
GPT-4.1 Nano
Quality Rank#232#248
GPT-4.1 Nano
Adoption Rank#232#248
GPT-4.1 Nano
Parameters------
Context Window1048K1000K
GPT-4.1 Nano
Pricing$0.10/$0.40/M$2.00/$6.00/M--
Signal Scores
Capabilities
83
100
Fugu Max
Benchmarks
44
--
GPT-4.1 Nano
Pricing
100
94
GPT-4.1 Nano
Context window size
96
95
GPT-4.1 Nano
Recency
37
100
Fugu Max
Output Capacity
72
82
Fugu Max
Benchmark Head-to-Head(2 benchmarks)
GPT-4.1 Nano: 0Fugu Max: 0
GPT-4.1 Nano
Fugu Max
Normalized 0-100%
Arena Elo
1322-
BigCodeBench
28.4%-
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-4.1 NanoEntry Level

Scores 42/100 (rank #232), placing it in the top 20% of all 290 models tracked.

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

Scores 40/100 (rank #248), placing it in the top 15% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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-4.1 Nano when you need:

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

Choose Fugu Max when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-4.1 NanoBest Value
Input cost$0.10/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$7.50
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-4.1 Nano offers 94% better value per quality point. At 1M tokens/day, you'd spend $7.50/month with GPT-4.1 Nano vs $120.00/month with Fugu Max - a $112.50 monthly difference.

Latency & Speed
GPT-4.1 NanoFaster
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-4.1 Nano

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano also offers lower per-token costs for high-volume support

GPT-4.1 Nano

Long document analysis

Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4.1 Nano

Batch data extraction

Lower output pricing ($0.40/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano

Creative writing & content

Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content

GPT-4.1 Nano

Image understanding & OCR

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

GPT-4.1 Nano
Which Should You Choose?
Our recommendation:
GPT-4.1 Nano

GPT-4.1 Nano and Fugu Max are extremely close in overall performance (only 2.1000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-4.1 Nano
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 94% 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-4.1 NanoFugu Max
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1 Nano

OpenAI

Best Value
$0.6600
estimated monthly cost

Fugu Max

sakana

$10.80
estimated monthly cost

GPT-4.1 Nano saves you $10.14/month

That's 94% 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-4.1 NanoFugu Max
Context Window1.0M1M
Max Output Tokens32,768128,000
Open SourceNoNo
CreatedApr 14, 2025Sep 11, 2026
Last updated: 59m ago

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