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MiniMax M1 vs Fugu Max

MiniMax M1

MiniMax

71#163
vs
Fugu Max

sakana

40#256
Signal-by-Signal Comparison
SignalMiniMax M1DeltaFugu Max
Capabilities
50
-50
100
Benchmarks
71
+71
0
Pricing
98
+4
94
Context window size
95
--
95
Recency
49
-51
100
Output Capacity
74
-8
82
Overall Result
2 wins
of 6
3 wins
Fugu Max wins 3 of 6 signals

Score History

Score History (32 data points)
MiniMax M1Fugu Max
MiniMax M1

70.8

current score

Leader

MiniMax M1

right now

Fugu Max

40

current score

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

MiniMax M1

MiniMax

Best Value
Per request$0.001500
Daily$5.00
Monthly$150.00
Annual$1800.00

Fugu Max

sakana

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

MiniMax M1 saves you $350.00/month

That's $4200.00/year compared to Fugu Max at your current usage level of 100K calls/month.

70% cheaper
Choose MiniMax M1 for cost optimization

MiniMax M1 pricing:
Input:$0.40/M tokens
Output:$2.20/M tokens
Fugu Max pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Winner
MiniMax M1

MiniMax

71

Composite Score

Fugu Max

sakana

40

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M1Fugu MaxWinner
Overall Score
71
40
MiniMax M1
Rank#163#256
MiniMax M1
Quality Rank#163#256
MiniMax M1
Adoption Rank#163#256
MiniMax M1
Parameters------
Context Window1000K1000K--
Pricing$0.40/$2.20/M$2.00/$6.00/M--
Signal Scores
Capabilities
50
100
Fugu Max
Benchmarks
71
--
MiniMax M1
Pricing
98
94
MiniMax M1
Context window size
95
95
MiniMax M1
Recency
49
100
Fugu Max
Output Capacity
74
82
Fugu Max
Benchmark Head-to-Head(2 benchmarks)
MiniMax M1: 0Fugu Max: 0
MiniMax M1
Fugu Max
Normalized 0-100%
MMLU-Pro
81.1%-
Arena Elo
1364-
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.

MiniMax M1Strong Performer

Scores 71/100 (rank #163), placing it in the top 44% of all 290 models tracked.

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

Scores 40/100 (rank #256), placing it in the top 12% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

MiniMax M1 has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose MiniMax M1 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Fugu Max when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
MiniMax M1Best Value
Input cost$0.40/M tokens
Output cost$2.20/M tokens
Cost per quality point$0.037
Est. monthly (1M tokens/day)$39.00
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

MiniMax M1 offers 68% better value per quality point. At 1M tokens/day, you'd spend $39.00/month with MiniMax M1 vs $120.00/month with Fugu Max - a $81.00 monthly difference.

Latency & Speed
MiniMax M1Faster
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

MiniMax M1

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M1 also offers lower per-token costs for high-volume support

MiniMax M1

Long document analysis

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

MiniMax M1

Batch data extraction

Lower output pricing ($2.20/M) reduces costs when processing thousands of records daily

MiniMax M1

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

MiniMax M1

Image understanding & OCR

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

Fugu Max
Which Should You Choose?
Our recommendation:
MiniMax M1

MiniMax M1 clearly outperforms Fugu Max with a significant 30.799999999999997-point lead. For most general use cases, MiniMax M1 is the stronger choice. However, Fugu Max may still excel in niche scenarios.

MiniMax M1
Recommended

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 68% 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
CapabilityMiniMax M1Fugu Max
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiniMax M1

MiniMax

Best Value
$3.36
estimated monthly cost

Fugu Max

sakana

$10.80
estimated monthly cost

MiniMax M1 saves you $7.44/month

That's 69% 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
ParameterMiniMax M1Fugu Max
Context Window1M1M
Max Output Tokens40,000128,000
Open SourceNoNo
CreatedJun 17, 2025Sep 11, 2026
Last updated: 46m ago

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