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GPT-4.1 vs MiniMax M3

GPT-4.1

OpenAI

68#174
vs
MiniMax M3

MiniMax

74#131
Signal-by-Signal Comparison
SignalGPT-4.1DeltaMiniMax M3
Capabilities
83
--
83
Benchmarks
70
-2
73
Pricing
92
-7
99
Context window size
96
--
96
Recency
45
-55
100
Output Capacity
75
-20
95
Overall Result
0 wins
of 6
4 wins
MiniMax M3 wins 4 of 6 signals

Score History

Score History (25 data points)
GPT-4.1MiniMax M3
GPT-4.1

67.7

current score

Leader

MiniMax M3

right now

MiniMax M3

74.3

current score

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

GPT-4.1

OpenAI

Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

MiniMax M3

MiniMax

Best Value
Per request$0.000900
Daily$3.00
Monthly$90.00
Annual$1080.00

MiniMax M3 saves you $510.00/month

That's $6120.00/year compared to GPT-4.1 at your current usage level of 100K calls/month.

85% cheaper
Choose MiniMax M3 for cost optimization

GPT-4.1 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
MiniMax M3 pricing:
Input:$0.30/M tokens
Output:$1.20/M tokens
GPT-4.1

OpenAI

68

Composite Score

Winner
MiniMax M3

MiniMax

74

Composite Score

Signal-by-Signal Comparison
MetricGPT-4.1MiniMax M3Winner
Overall Score
68
74
MiniMax M3
Rank#174#131
MiniMax M3
Quality Rank#174#131
MiniMax M3
Adoption Rank#174#131
MiniMax M3
Parameters------
Context Window1048K1049K
MiniMax M3
Pricing$2.00/$8.00/M$0.30/$1.20/M--
Signal Scores
Capabilities
83
83
GPT-4.1
Benchmarks
70
73
MiniMax M3
Pricing
92
99
MiniMax M3
Context window size
96
96
GPT-4.1
Recency
45
100
MiniMax M3
Output Capacity
75
95
MiniMax M3
Benchmark Head-to-Head(12 benchmarks)
GPT-4.1: 0MiniMax M3: 1
GPT-4.1
MiniMax M3
Normalized 0-100%
MMLU
89.2%-
MMLU-Pro
81.8%-
GPQA Diamond
56%-
MATH-500
78.5%-
HumanEval
91.5%-
SWE-bench Verified
54.6%-
IFEval
88.2%-
BBH
84%-
Arena Elo
13001445
LiveBench
64.5%-
HLE
5.4%-
BigCodeBench
31.8%-
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-4.1Competitive

Scores 68/100 (rank #174), placing it in the top 40% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
MiniMax M3Strong Performer

Scores 74/100 (rank #131), placing it in the top 55% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

MiniMax M3 has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4.1 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose MiniMax M3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-4.1
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.148
Est. monthly (1M tokens/day)$150.00
MiniMax M3Best Value
Input cost$0.30/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.020
Est. monthly (1M tokens/day)$22.50

MiniMax M3 offers 85% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M3 vs $150.00/month with GPT-4.1 - a $127.50 monthly difference.

Latency & Speed
GPT-4.1Faster
Speed score0/100
MiniMax M3
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M3 also offers lower per-token costs for high-volume support

GPT-4.1

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

MiniMax M3

Batch data extraction

Lower output pricing ($1.20/M) reduces costs when processing thousands of records daily

MiniMax M3

Creative writing & content

Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content

MiniMax M3

Image understanding & OCR

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

GPT-4.1
Which Should You Choose?
Our recommendation:
MiniMax M3

MiniMax M3 has a moderate advantage with a 6.599999999999994-point lead in composite score. It wins on more signal dimensions, but GPT-4.1 has specific strengths that could make it the better choice for certain workflows.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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
MiniMax M3
Recommended

by MiniMax

  • Choose for Cost - 85% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4.1MiniMax M3
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4.1

OpenAI

$13.20
estimated monthly cost

MiniMax M3

MiniMax

Best Value
$1.98
estimated monthly cost

MiniMax M3 saves you $11.22/month

That's 85% cheaper than GPT-4.1 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-4.1MiniMax M3
Context Window1.0M1.0M
Max Output Tokens32,768512,000
Open SourceNoYes
CreatedApr 14, 2025May 31, 2026
Last updated: 30m ago

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